NeuML / fasttext-quantized

huggingface.co
Total runs: 49
24-hour runs: 0
7-day runs: -22
30-day runs: -35
Model's Last Updated: January 27 2025
sentence-similarity

Introduction of fasttext-quantized

Model Details of fasttext-quantized

FastText StaticVectors model

This model is an export of these FastText English Vectors ( wiki-news-300d-1M-subword.vec.zip ) for staticvectors . staticvectors enables running inference in Python with NumPy. This helps it maintain solid runtime performance.

This model is a quantized version of the base model. It's using 10x256 Product Quantization.

Usage with StaticVectors
from staticvectors import StaticVectors

model = StaticVectors("neuml/fasttext-quantized")
model.embeddings(["word"])

Runs of NeuML fasttext-quantized on huggingface.co

49
Total runs
0
24-hour runs
-15
3-day runs
-22
7-day runs
-35
30-day runs

More Information About fasttext-quantized huggingface.co Model

More fasttext-quantized license Visit here:

https://choosealicense.com/licenses/cc-by-sa-3.0

fasttext-quantized huggingface.co

fasttext-quantized huggingface.co is an AI model on huggingface.co that provides fasttext-quantized's model effect (), which can be used instantly with this NeuML fasttext-quantized model. huggingface.co supports a free trial of the fasttext-quantized model, and also provides paid use of the fasttext-quantized. Support call fasttext-quantized model through api, including Node.js, Python, http.

fasttext-quantized huggingface.co Url

https://huggingface.co/NeuML/fasttext-quantized

NeuML fasttext-quantized online free

fasttext-quantized huggingface.co is an online trial and call api platform, which integrates fasttext-quantized's modeling effects, including api services, and provides a free online trial of fasttext-quantized, you can try fasttext-quantized online for free by clicking the link below.

NeuML fasttext-quantized online free url in huggingface.co:

https://huggingface.co/NeuML/fasttext-quantized

fasttext-quantized install

fasttext-quantized is an open source model from GitHub that offers a free installation service, and any user can find fasttext-quantized on GitHub to install. At the same time, huggingface.co provides the effect of fasttext-quantized install, users can directly use fasttext-quantized installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

fasttext-quantized install url in huggingface.co:

https://huggingface.co/NeuML/fasttext-quantized

Url of fasttext-quantized

fasttext-quantized huggingface.co Url

Provider of fasttext-quantized huggingface.co

NeuML
ORGANIZATIONS

Other API from NeuML

huggingface.co

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