Instructions to use romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721 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, "romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dfac5870d44474e0c95e618e51cf47919703a80f15c980983eb82d60b8e6b19
- Size of remote file:
- 168 MB
- SHA256:
- 596f4aa8cb31fba7bb294f4253c9196aa48a56a4fe7e9745f0bfe798dd583748
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