Website stats for Fasttext - fasttext.cc
FastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.
It has a alexa rank of #306,542 in the world. It is a domain having .cc extension. It is estimated worth of $ 30,240.00 and have a daily income of around $ 56.00. As no active threats were reported recently, fasttext.cc is SAFE to browse.
Traffic Report
| Daily Unique Visitors: | 5,005 |
| Daily Pageviews: | 20,020 |
Estimated Valuation
| Income Per Day: | $ 56.00 |
| Estimated Worth: | $ 30,240.00 |
Search Engine Indexes
| Google Indexed Pages: | Not Applicable |
| Yahoo Indexed Pages: | Not Applicable |
| Bing Indexed Pages: | Not Applicable |
Search Engine Backlinks
| Google Backlinks: | Not Applicable |
| Bing Backlinks: | Not Applicable |
| Alexa BackLinks: | Not Applicable |
Safety Information
| Google Safe Browsing: | No Risk Issues |
| Siteadvisor Rating: | Not Applicable |
| WOT Trustworthiness: |
 Very Poor
|
| WOT Privacy: |
Very Poor
|
| WOT Child Safety: |
Very Poor
|
Website Ranks & Scores
| Alexa Rank: | 306,542 |
| PageSpeed Score: | 89 ON 100 |
| Domain Authority: |
49 ON 100 
|
| Bounce Rate: | Not Applicable |
| Time On Site: | Not Applicable |
Web Server Information
Hosted IP Address:
104.21.47.198
Hosted Country:
US
Location Latitude:
37.7757Location Longitude:
-122.395Traffic Classification
| Total Traffic: | 64.42K |
| Direct Traffic: | 38.74% |
| Referral Traffic: | 15.12% |
| Search Traffic: | 45.30% |
| Social Traffic: | 0.83% |
| Mail Traffic: | 0% |
| Display Traffic: | 0% |
Search Engine Results For fasttext.cc
Memory efficiently loading of pretrained word embeddings from ...
cc.de.300.bin (7 GB). Gensim offers the following two options for loading fasttext files: gensim.models.fasttext.
Library for fast text representation and classification. | PythonRepo
3 days ago ... Assertion failed: (counts.size() == osz_), function setTargetCounts, file src/model. cc, line 188. Abort trap: 6. model train command was: ./fasttext ...
gluonnlp.embedding — gluonnlp 1.0.0.dev documentation
This method will load fasttext model binaray file from a given file path or remote sources, and return a fasttext model object. See fasttext.cc for more usage ...
Text Analytics Toolbox Model for fastText English 16 Billion Token ...
For more information on the pre-trained word vector model see : https://fasttext.cc/ docs/en/english-vectors.html. Opening the fasttext.mlpkginstall file from your ...
FastText Users | Facebook
Code available at: https://github.com/facebookresearch/fastText. ... fasttext.cc. fastText. Library for efficient text classification and representation learning. 6.
Get FastText representation from pretrained embeddings with ...
Apr 2, 2020 ... mkdir /sharedfiles/fasttext for LANG in en fr; do echo "Downloading for lang $ LANG"; wget https://dl.fbaipublicfiles.com/fasttext/vectors-crawl/cc.
How do I load FastText pretrained model with Gensim? - Data ...
pip install fasttext import fasttext.util fasttext.util.download_model('en', if_exists=' ignore') # English ft = fasttext.load_model('cc.en.300.bin'). Works...
Package 'fastText'
May 27, 2021 ... more info see https://fasttext.cc/docs/en/language-identification.html k predict top k labels (1 by default) th probability threshold (0.0 by default).
fasttext — Homebrew Formulae
fasttext. Install command: brew install fasttext. Library for fast text representation and classification. https://fasttext.cc. License: MIT. /api/formula/fasttext.json ...
FastText - Wiki | Golden
fastText is an open source library designed to help build scalable solutions for text ... FAIR proposed fastText in 2016. ... https://fasttext.cc/docs/en/support.html.
fastText
What is fastText? ... FastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard , ...
Language detection - IBM
This service uses a machine learning library called FastText (https://fasttext.cc/) that was developed by Facebook. The library is used to train a language classifier ...
FastText - Reviews, Pros & Cons | Companies using FastText
See what developers are saying about how they use FastText. ... Library for efficient text classification and representation learning. Company Profile · fasttext. cc.
Word Embeddings for Bengali (bengali_cc_300d)- Spark NLP Model
Feb 10, 2021 ... DescriptionThis model is trained on Common Crawl and Wikipedia using fastText . It is trained using CBOW with position-weights, in dimension ...
Text API — mxnet documentation
Now we are ready to look up the fastText word embedding vectors for indexed words, such as 'hello' and 'world'. ... (Source from https://fasttext.cc/). References.
fasttext pre-training word vector loading - Programmer Sought
from gensim.models import FastText. FASTTEXTFILE = "./fastText/cc.en.300.bin".
fasttext · pkg.go.dev
Oct 31, 2020 ... Package fasttext provides a simple wrapper for Facebook fastText dataset (https:// fasttext.cc/docs/en/crawl-vectors.html). It allows fast look-up of ...
Support fastText as Word Embeddings in NerDLModel - spark-nlp
https://fasttext.cc/docs/en/crawl-vectors.html. I have found a very nice statement about GloVe, word2vec, and fastText which I quote it here: A key difference is ...
Advances in Pre-Training Distributed Word Representations
We focus mainly on. 1https://fasttext.cc/ known modifications and data pre- processing strategies that are rarely used together: the position dependent features in-.
Pretrained Word Embeddings · 26
fastText. 1 million word vectors trained on Wikipedia 2017, UMBC webbase ... https://fasttext.cc/docs/en/english-vectors.html https://arxiv.org/pdf/1310.4546.pdf ...
Issues with Skip-Gram | Data Science and Machine Learning | Kaggle
**Note : A fasttext open-source library, including pretrained embeddings for 157 languages, is available at https://fasttext.cc. Quote. Follow. Bookmark ...
torchnlp.word_to_vector package — PyTorch-NLP 0.5.0 ...
https://arxiv.org/abs/1607.04606 · https://fasttext.cc/ · https://arxiv.org/abs/ ... in the vector space across languages. if False: use regular FastText embeddings.
Page Resources Breakdown
Homepage Links Analysis
Website Inpage Analysis
| H1 Headings: | Not Applicable | H2 Headings: | 13 |
| H3 Headings: | Not Applicable | H4 Headings: | Not Applicable |
| H5 Headings: | 3 | H6 Headings: | Not Applicable |
| Total IFRAMEs: | Not Applicable | Total Images: | 9 |
| Google Adsense: | Not Applicable | Google Analytics: | UA-44373548-30 |
Two Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| E Grave | 3 | 1.875 % | No |
| P Bojanowski | 3 | 1.875 % | No |
| A Joulin | 3 | 1.875 % | No |
| T Mikolov | 3 | 1.875 % | No |
| Grave P | 2 | 1.25 % | No |
| Joulin E | 2 | 1.25 % | No |
| vectors Pretrained | 2 | 1.25 % | No |
| word vectors | 2 | 1.25 % | No |
| text classification | 2 | 1.25 % | No |
| fastText commands | 1 | 0.625 % | No |
| of fastText | 1 | 0.625 % | No |
| review of | 1 | 0.625 % | No |
| commands References | 1 | 0.625 % | No |
| depth review | 1 | 0.625 % | No |
| Enriching Word | 1 | 0.625 % | No |
| Information P | 1 | 0.625 % | No |
| 2020 Facebook | 1 | 0.625 % | No |
| Bojanowski E | 1 | 0.625 % | No |
| Subword Information | 1 | 0.625 % | No |
| with Subword | 1 | 0.625 % | No |
Four Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| E Grave P Bojanowski | 2 | 1.25 % | No |
| Joulin E Grave P | 2 | 1.25 % | No |
| A Joulin E Grave | 2 | 1.25 % | No |
| with Subword Information P | 1 | 0.625 % | No |
| Subword Information P Bojanowski | 1 | 0.625 % | No |
| Information P Bojanowski E | 1 | 0.625 % | No |
| References Enriching Word Vectors | 1 | 0.625 % | No |
| Enriching Word Vectors with | 1 | 0.625 % | No |
| Vectors with Subword Information | 1 | 0.625 % | No |
| P Bojanowski E Grave | 1 | 0.625 % | No |
| Word Vectors with Subword | 1 | 0.625 % | No |
| Grave A Joulin T | 1 | 0.625 % | No |
| T Mikolov Bag of | 1 | 0.625 % | No |
| Mikolov Bag of Tricks | 1 | 0.625 % | No |
| Bag of Tricks for | 1 | 0.625 % | No |
| Joulin T Mikolov Bag | 1 | 0.625 % | No |
| A Joulin T Mikolov | 1 | 0.625 % | No |
| E Grave A Joulin | 1 | 0.625 % | No |
| commands References Enriching Word | 1 | 0.625 % | No |
| Bojanowski E Grave A | 1 | 0.625 % | No |
HTTP Header Analysis
Status-Code: 200
Status: 200 OK
Date: Sun, 25 Apr 2021 04:31:34 GMT
Content-Type: text/html; charset=utf-8
Transfer-Encoding: chunked
Connection: keep-alive
Last-Modified: Sat, 18 Jul 2020 00:22:08 GMT
Vary: Accept-Encoding
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expires: Sun, 25 Apr 2021 04:39:00 GMT
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NEL: {"max_age":604800,"report_to":"cf-nel"}
Server: cloudflare
CF-RAY: 6454d7ae6f2e414b-HAM
Content-Encoding: gzip
alt-svc: h3-27=":443"; ma=86400, h3-28=":443"; ma=86400, h3-29=":443"; ma=86400
Domain Nameserver Information
| Host | IP Address | Country | |
|---|---|---|---|
| norm.ns.cloudflare.com | |
173.245.59.134 | United States |
| edna.ns.cloudflare.com | |
173.245.58.109 | United States |
DNS Record Analysis
| Host | Type | TTL | Extra |
|---|---|---|---|
| fasttext.cc | A | 297 |
IP: 172.67.172.111 |
| fasttext.cc | A | 297 |
IP: 104.21.47.198 |
| fasttext.cc | NS | 86400 |
Target: norm.ns.cloudflare.com |
| fasttext.cc | NS | 86400 |
Target: edna.ns.cloudflare.com |
| fasttext.cc | SOA | 3600 |
MNAME: edna.ns.cloudflare.com RNAME: dns.cloudflare.com Serial: 2034773974 Refresh: 10000 Retry: 2400 Expire: 604800 |
| fasttext.cc | TXT | 300 |
TXT: v=spf1 a -all |
| fasttext.cc | AAAA | 296 |
IPV6: 2606:4700:3035::6815:2fc6 |
| fasttext.cc | AAAA | 296 |
IPV6: 2606:4700:3032::ac43:ac6f |
Top Organic Keyword
| 1. | fasttext |
| 2. | fasttext embeddings |
| 3. | download pre-trained word vectors |
| 4. | pretrained model for indonesia word2vec |
| 5. | fast text |
Top Paid Keyword
| Not Applicable |
Top Referral Site
| 1. | github.com |
| 2. | link.csdn.net |
| 3. | towardsdatascience.com |
| 4. | brightspace.tudelft.nl |
| 5. | medium.com |
Top Destination Site
| 1. | arxiv.org |
| 2. | youtube.com |
| 3. | github.com |
| 4. | fb-public.app.box.com |
| 5. | commoncrawl.org |
Full WHOIS Lookup
Registry Domain ID:
129854733_DOMAIN_CC-VRSN
Registrar WHOIS Server:
whois.markmonitor.com
Registrar URL:
http://www.markmonitor.com
Updated Date:
2021-04-15T09:07:55Z
Creation Date:
2017-05-17T19:57:36Z
Registry Expiry Date:
2023-05-17T19:57:36Z
Registrar: MarkMonitor Inc.
Registrar
IANA ID: 292
Registrar Abuse Contact Email:
[email protected]
Registrar Abuse Contact Phone:
+1.2083895740
Domain Status: clientDeleteProhibited
https://icann.org/epp#clientDeleteProhibited
Domain Status:
clientTransferProhibited
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Domain Status:
clientUpdateProhibited
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Name Server:
EDNA.NS.CLOUDFLARE.COM
Name Server:
NORM.NS.CLOUDFLARE.COM
DNSSEC: unsigned
URL of the ICANN Whois
Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last
update of WHOIS database: 2021-04-25T04:31:29Z
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