Instructions to use igmarco/AWD_LSTM-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use igmarco/AWD_LSTM-text-classification with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("igmarco/AWD_LSTM-text-classification") - Notebooks
- Google Colab
- Kaggle
Download model.pkl from igmarco/AWD_LSTM-text-classification: direct link, hf CLI and curl.
- Browser
- Download file 139 MB
-
https://huggingface.co/igmarco/AWD_LSTM-text-classification/resolve/main/model.pkl
- Command line
-
hf download hf://igmarco/AWD_LSTM-text-classification/model.pkl
-
curl -L -o model.pkl https://huggingface.co/igmarco/AWD_LSTM-text-classification/resolve/main/model.pkl
139 MB
- Xet hash:
- e877519d360b7a7dcc719f2a0506fdae481c2a661bcaa6d0485e39659ddc8625
- Size of remote file:
- 139 MB
- SHA256:
- bcbfa740cf3a6e9798ef872c3b870d1861554ef259d97e18baa5b872fd718c72
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