Instructions to use FlamingNeuron/llama381binstruct_summarize_short with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlamingNeuron/llama381binstruct_summarize_short with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FlamingNeuron/llama381binstruct_summarize_short", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from FlamingNeuron/llama381binstruct_summarize_short: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/FlamingNeuron/llama381binstruct_summarize_short/resolve/main/training_args.bin
- Command line
-
hf download hf://FlamingNeuron/llama381binstruct_summarize_short/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/FlamingNeuron/llama381binstruct_summarize_short/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 51197941939a2a384ed06ec83b2983ef61727ac40dc81ee3dee89d4378e86631
- Size of remote file:
- 5.69 kB
- SHA256:
- a957fb8ff87a2ce8a9ae81eb92496286e52ccfe4c64ca3a983b6148e4134c5b4
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