Instructions to use sergioalves/87d66776-7a9b-451b-9821-40b2d438b085 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/87d66776-7a9b-451b-9821-40b2d438b085 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "sergioalves/87d66776-7a9b-451b-9821-40b2d438b085") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8453220a81469500baad7e409bd8cc6c25d122614409849b920cde4fffccf7fa
- Size of remote file:
- 6.78 kB
- SHA256:
- 949606cb330411f19cffdccca4ddfb224411e4a71dc343a23bb6ee4205b4cf35
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