Instructions to use kenhktsui/llm-data-textbook-quality-fasttext-classifier-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use kenhktsui/llm-data-textbook-quality-fasttext-classifier-v1 with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("kenhktsui/llm-data-textbook-quality-fasttext-classifier-v1", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43cd2b1d4a6bb2e0b4c64e4cec5e2f772db382cbf3c41834555ea9b187e76a8f
- Size of remote file:
- 7.54 GB
- SHA256:
- f23a0971e66540f910a186b8b9e11c233a514bb021d4f2581f4039cf7e50242a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.