Instructions to use RyeAI/DaMedSum-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyeAI/DaMedSum-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RyeAI/DaMedSum-base") model = AutoModelForSeq2SeqLM.from_pretrained("RyeAI/DaMedSum-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RyeAI/DaMedSum-base: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/RyeAI/DaMedSum-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RyeAI/DaMedSum-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RyeAI/DaMedSum-base/resolve/main/pytorch_model.bin
2.33 GB
- Xet hash:
- 57e7f17cc977caf382566d02a8acd989bf15c70a0b4ceef051dc0047eedf5121
- Size of remote file:
- 2.33 GB
- SHA256:
- aed59cd7bd6a4a08bfc95333301f3f6a4bb9f6afd007ced027ae00ab2a6df61c
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