Instructions to use igmarco/LSTM-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use igmarco/LSTM-text-classification with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("igmarco/LSTM-text-classification") - Notebooks
- Google Colab
- Kaggle
Download model.pkl from igmarco/LSTM-text-classification: direct link, hf CLI and curl.
- Browser
- Download file 140 MB
-
https://huggingface.co/igmarco/LSTM-text-classification/resolve/main/model.pkl
- Command line
-
hf download hf://igmarco/LSTM-text-classification/model.pkl
-
curl -L -o model.pkl https://huggingface.co/igmarco/LSTM-text-classification/resolve/main/model.pkl
140 MB
- Xet hash:
- 31a9ce8c8ae0d967cc681de882d8c512fe4e43b6f6eb26cbad15959f477ff839
- Size of remote file:
- 140 MB
- SHA256:
- 2042314a423405a878df703776b3a13debde506e2db4f4d9a622d065db99e4f1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.