Instructions to use ibivibiv/llama3-8b-instruct-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ibivibiv/llama3-8b-instruct-code 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, "ibivibiv/llama3-8b-instruct-code") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bcac638b394737e0f44a9f195c24612617e30ee270e4b3ede20fef44c0c4a14
- Size of remote file:
- 5.88 kB
- SHA256:
- 4f348138d190cddb2b94e5ef440126033219ebac7334711073456f48a93c5c42
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