Instructions to use daniel40/dff653fe-675e-46d0-8247-69e62371b08b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/dff653fe-675e-46d0-8247-69e62371b08b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "daniel40/dff653fe-675e-46d0-8247-69e62371b08b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86a9ec8e7508cc97e727ac330e7af6642673a30268757720dffeab5153de83ac
- Size of remote file:
- 114 MB
- SHA256:
- e9ebf96f6f85573815bfb4fcc5cf57a5bb3849c769e84dacd4186bc19336e1a1
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