Instructions to use niting089/llama381binstruct_summarize_short with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use niting089/llama381binstruct_summarize_short with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "niting089/llama381binstruct_summarize_short") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba95907740e01f0d1002440c22f019b31539e79cc5a6aa630102fc4b1c101955
- Size of remote file:
- 5.5 kB
- SHA256:
- 29ff917d8683cec098dee81e95e42a4df4123c7b742716436ccd4bb216a14a20
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