Instructions to use diyanigam/CookBook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use diyanigam/CookBook with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "diyanigam/CookBook") - Notebooks
- Google Colab
- Kaggle
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Download README.md from diyanigam/CookBook: direct link, hf CLI and curl.
- Browser
- Download file 166 Bytes
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https://huggingface.co/diyanigam/CookBook/resolve/main/README.md
- Command line
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hf download hf://diyanigam/CookBook/README.md
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curl -L -o README.md https://huggingface.co/diyanigam/CookBook/resolve/main/README.md
166 Bytes
| library_name: peft | |
| license: apache-2.0 | |
| language: | |
| - en | |
| base_model: | |
| - meta-llama/Llama-2-7b-chat-hf | |
| ## Training procedure | |
| ### Framework versions | |
| - PEFT 0.4.0 |