Instructions to use CalebMaresca/llama381binstruct_summarize_short with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CalebMaresca/llama381binstruct_summarize_short with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CalebMaresca/llama381binstruct_summarize_short", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CalebMaresca/llama381binstruct_summarize_short: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/CalebMaresca/llama381binstruct_summarize_short/resolve/main/training_args.bin
- Command line
-
hf download hf://CalebMaresca/llama381binstruct_summarize_short/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CalebMaresca/llama381binstruct_summarize_short/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 93b1b3c67fd0a54b2a7a2e4d83e1efd10cb4a9b13f36e77507451eadb17eab9a
- Size of remote file:
- 5.62 kB
- SHA256:
- 02da369ac6aeb389e67e6e60fef647b028a5063868f2700de79a1d8191ba6f64
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