Instructions to use Evan888sdklfadklshfdjklsuf/healthacre-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evan888sdklfadklshfdjklsuf/healthacre-llm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Evan888sdklfadklshfdjklsuf/healthacre-llm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.model from Evan888sdklfadklshfdjklsuf/healthacre-llm: direct link, hf CLI and curl.
- Browser
- Download file 493 kB
-
https://huggingface.co/Evan888sdklfadklshfdjklsuf/healthacre-llm/resolve/main/tokenizer.model
- Command line
-
hf download hf://Evan888sdklfadklshfdjklsuf/healthacre-llm/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Evan888sdklfadklshfdjklsuf/healthacre-llm/resolve/main/tokenizer.model
493 kB
- Xet hash:
- 32726c94d96b1a5c442963faa3a900decf397fe67b5c530097a9f8b2506c63b6
- Size of remote file:
- 493 kB
- SHA256:
- dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.