Instructions to use VERSIL91/cfeb2bbb-7190-4311-bcfb-bc6b5dc5be84 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/cfeb2bbb-7190-4311-bcfb-bc6b5dc5be84 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, "VERSIL91/cfeb2bbb-7190-4311-bcfb-bc6b5dc5be84") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bbd2c3a65950db8044557f9430678f9ac141d84a7fb3754db7ca2db45123a06
- Size of remote file:
- 83.9 MB
- SHA256:
- 4d3840833d1dc3e1e049623e92c204cb889ac662b219aa19f505150d8a4f9374
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