Instructions to use duccd/led-base-billsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duccd/led-base-billsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("duccd/led-base-billsum") model = AutoModelForSeq2SeqLM.from_pretrained("duccd/led-base-billsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from duccd/led-base-billsum: direct link, hf CLI and curl.
- Browser
- Download file 1.29 GB
-
https://huggingface.co/duccd/led-base-billsum/resolve/main/optimizer.pt
- Command line
-
hf download hf://duccd/led-base-billsum/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/duccd/led-base-billsum/resolve/main/optimizer.pt
1.29 GB
- Xet hash:
- 5290800d42ce4b5dc134faf7f11a8572ba20b64cc73bc58ace83c50779ff8f52
- Size of remote file:
- 1.29 GB
- SHA256:
- 28c44dc808e96d3654d53b1437b65f78e4d3c064aa4d14ef72d6434cbe2e0913
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