Instructions to use skar01/llama2-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use skar01/llama2-coder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "skar01/llama2-coder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8036953d151dbadb64348900e85ff3ab10673e42a9b4e8174f464e4763cd39f5
- Size of remote file:
- 134 MB
- SHA256:
- e1f47c84196cf1b98fbb33874838fa61db5361eafa875d5eb173b462599c733b
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