Instructions to use RyeAI/DaMedSum-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyeAI/DaMedSum-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RyeAI/DaMedSum-small") model = AutoModelForSeq2SeqLM.from_pretrained("RyeAI/DaMedSum-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RyeAI/DaMedSum-small: direct link, hf CLI and curl.
- Browser
- Download file 4.14 kB
-
https://huggingface.co/RyeAI/DaMedSum-small/resolve/main/training_args.bin
- Command line
-
hf download hf://RyeAI/DaMedSum-small/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RyeAI/DaMedSum-small/resolve/main/training_args.bin
4.14 kB
- Xet hash:
- 101efbb766595cfdc452390058897103f63c52284f8edd15df87bc46efdfdbcb
- Size of remote file:
- 4.14 kB
- SHA256:
- fc20e9c974ff29ddb4ae48fde871c5e16e2899c72d29ed4d9f8de24a2fede6d7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.