Instructions to use thalllsssss/aaeaa7c4-1b20-4f3b-8aaf-07251ec75a93 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/aaeaa7c4-1b20-4f3b-8aaf-07251ec75a93 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.3") model = PeftModel.from_pretrained(base_model, "thalllsssss/aaeaa7c4-1b20-4f3b-8aaf-07251ec75a93") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fe0f9e833dc7f5582361649cd1b7e95d978b4a029cc584f006253f7f9ea86bc
- Size of remote file:
- 84 MB
- SHA256:
- 1bd1dd03e04c1f25c6114024b6261c9a23c57e13cab83177597d8b13f3279ba2
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