Text Classification
GGUF
fastText
multilingual
language-identification
lid
ggml
crispasr
hierarchical-softmax
Instructions to use cstr/fasttext-lid176-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use cstr/fasttext-lid176-GGUF with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("cstr/fasttext-lid176-GGUF", "model.bin")) - Notebooks
- Google Colab
- Kaggle
docs: correct licence metadata to match upstream terms
Browse files
README.md
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---
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license: cc-by-sa-3.0
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base_model: facebook/fasttext-language-identification
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base_model_relation: quantized
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library_name: gguf
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pipeline_tag: text-classification
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tags:
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This GGUF rebuild inherits the upstream **CC-BY-SA-3.0** license.
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Redistributors must preserve the SA terms.
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---
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license: cc-by-sa-3.0
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library_name: gguf
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pipeline_tag: text-classification
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tags:
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This GGUF rebuild inherits the upstream **CC-BY-SA-3.0** license.
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Redistributors must preserve the SA terms.
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## Note on `base_model` (corrected 2026-08-02)
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This repo's frontmatter pointed at
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[`facebook/fasttext-language-identification`](https://huggingface.co/facebook/fasttext-language-identification),
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which is a **different model** — the NLLB-based LID-201 classifier, published
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under CC-BY-NC-4.0. The weights here are Facebook's original
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[`lid.176.bin`](https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.bin),
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distributed from fasttext.cc under **CC-BY-SA-3.0**, exactly as the licence
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section above describes.
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The pointer has been removed rather than repaired, because `lid.176.bin` has no
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Hub repo to point at. The licence field was already correct and is unchanged —
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recording that here because an automated sweep flagged this repo as a licence
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mismatch on the strength of the wrong pointer, and relabelling it
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non-commercial would have imposed a restriction the upstream does not.
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