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:
- 82976cab21c7080bbf45dbb0e73e23eaba6560560d89ef2d71cd9d316af8bd3c
- Size of remote file:
- 84 MB
- SHA256:
- 20a714d225bdc9eeccafceecb52c128bd5283f746076e728ee71fbca36a0fb60
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