Instructions to use EveSa/SummaryProject-LSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EveSa/SummaryProject-LSTM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EveSa/SummaryProject-LSTM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from EveSa/SummaryProject-LSTM: direct link, hf CLI and curl.
- Browser
- Download file 83 Bytes
-
https://huggingface.co/EveSa/SummaryProject-LSTM/resolve/main/.gitattributes
- Command line
-
hf download hf://EveSa/SummaryProject-LSTM/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/EveSa/SummaryProject-LSTM/resolve/main/.gitattributes
83 Bytes
| *.pt filter=lfs diff=lfs merge=lfs -text | |
| *.pkl filter=lfs diff=lfs merge=lfs -text | |