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 model/model.pt from EveSa/SummaryProject-LSTM: direct link, hf CLI and curl.
- Browser
- Download file 16.9 MB
-
https://huggingface.co/EveSa/SummaryProject-LSTM/resolve/main/model/model.pt
- Command line
-
hf download hf://EveSa/SummaryProject-LSTM/model/model.pt
-
curl -L -o model.pt https://huggingface.co/EveSa/SummaryProject-LSTM/resolve/main/model/model.pt
16.9 MB
- Xet hash:
- b2cb97e312921476fddf7fcd2ce8895b3c3220821155dcc2229dba1fe1c7718e
- Size of remote file:
- 16.9 MB
- SHA256:
- ba0d5100ac608494783091abfa474a0cf32b1a63927ecd835231f47ff4e40604
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