Instructions to use tuanna08go/16c5210f-4d0c-41b2-ac55-4e66607816eb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/16c5210f-4d0c-41b2-ac55-4e66607816eb 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, "tuanna08go/16c5210f-4d0c-41b2-ac55-4e66607816eb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 306bb5e5d0f059c348f70f78d964ae1c43f9c1f706d0043cf8470311a8989a57
- Size of remote file:
- 6.78 kB
- SHA256:
- 349c3e68c86b06b062692dd603c0208513feda48f017e961a6ce796e1c0129f0
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