Instructions to use BEGADE/llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BEGADE/llama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "BEGADE/llama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b93e93ce6b04decb47cfd21a42344f9c472b6bc7aaf3cb94ae0f17e1b2ca53bc
- Size of remote file:
- 4.73 kB
- SHA256:
- 2b48183faa55f2a691ff8c1f1991001fe8c83763695832000037377b9ccbff48
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