Instructions to use Alphatao/fa7408f2-3f89-49ba-9a85-628ea116d54a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/fa7408f2-3f89-49ba-9a85-628ea116d54a 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, "Alphatao/fa7408f2-3f89-49ba-9a85-628ea116d54a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8053493b316ceb5751e73c3c74cae69c663050183dff7ce8dba271c7330fbc39
- Size of remote file:
- 228 MB
- SHA256:
- 9bb666eabeb966d6df02ea27965438af762c6988db351b0af4bd561fa567fd46
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