Instructions to use blood34/7f27cca4-cc26-4a50-b63f-ec5af0b641ae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use blood34/7f27cca4-cc26-4a50-b63f-ec5af0b641ae with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "blood34/7f27cca4-cc26-4a50-b63f-ec5af0b641ae") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ada870a60efd4feac7f3b5b9aa6adf646c1a699cc77d1a36695161aace9d6003
- Size of remote file:
- 6.78 kB
- SHA256:
- 0768ec3d7a8246943d06fd8d42b3c5d147d188bed9e7a4b52b9f373793cfcf61
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