Instructions to use alchemist69/30f88396-e5f6-4dc3-a9c0-8a3693ea0d8d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/30f88396-e5f6-4dc3-a9c0-8a3693ea0d8d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3") model = PeftModel.from_pretrained(base_model, "alchemist69/30f88396-e5f6-4dc3-a9c0-8a3693ea0d8d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21d5f0dc8e83bdf68be3f0af49d0136b9c3007dd358b8d161914a14c993dce15
- Size of remote file:
- 6.84 kB
- SHA256:
- 9ae7de52d7ac5c983d9987cf46e978e96a53fc10b8d0a79dbdf9577ff49f2b23
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