Instructions to use bbytxt/be6356f1-a474-49a1-b416-9c1aea4c7525 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bbytxt/be6356f1-a474-49a1-b416-9c1aea4c7525 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "bbytxt/be6356f1-a474-49a1-b416-9c1aea4c7525") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3835c9c61b687b37b03324959a37c2bc79cf7a6ed508a6b2d54e700701144e2
- Size of remote file:
- 43.1 MB
- SHA256:
- dfbffc78d339cfb926fca234fe92b54005eee03790e41d7d005499aace7825c9
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