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:
- 55b95dd09e58747d0d500e49351177e018d44a60c0d72081112f1612301b113a
- Size of remote file:
- 83.9 MB
- SHA256:
- 9193234c6db5919b03cc335abbdaff0b1f36da779e4392648661ba9a30062cf4
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