Instructions to use revusyi/36f55663-d591-4e9f-b0a1-b7eac32e02c5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use revusyi/36f55663-d591-4e9f-b0a1-b7eac32e02c5 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, "revusyi/36f55663-d591-4e9f-b0a1-b7eac32e02c5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b8afe425b1bfbfe67ac5a6a7f547a627b561bf3f02d44269043f986b2ef7356
- Size of remote file:
- 6.78 kB
- SHA256:
- 48fbe06fefd3d4130e0682163b32e455c77c38e63b87812667b0d1ac5c61e52b
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