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 adapter_model.safetensors from FlamingNeuron/llama381binstruct_summarize_short: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/FlamingNeuron/llama381binstruct_summarize_short/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://FlamingNeuron/llama381binstruct_summarize_short/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/FlamingNeuron/llama381binstruct_summarize_short/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- fb03e191770aba7a8b8126c2e2edc04b3434ba494ca1d1ae73807907c2a26665
- Size of remote file:
- 168 MB
- SHA256:
- b407df1b2973946b12fb32835ddfaa02ce7cdd2404d0d9eb34e7793e81f6047a
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