Instructions to use jag8/jagllama-auto2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jag8/jagllama-auto2 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, "jag8/jagllama-auto2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 212e03567ba232d88bde9f70db424910a03611d927e7afaab68dcd6e0c96e07d
- Size of remote file:
- 67.2 MB
- SHA256:
- f359b002d3f919eff742cadd841074df462bfb3bd2769214fd8d7cea176cdbdd
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