Instructions to use chauhoang/43c5e90a-91f9-d2b4-19f3-6ca01351db92 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/43c5e90a-91f9-d2b4-19f3-6ca01351db92 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "chauhoang/43c5e90a-91f9-d2b4-19f3-6ca01351db92") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37c229886fc854323f2c5c8da91714d12796f6b285dadc5fe387ff0dc15ef9fc
- Size of remote file:
- 25.3 MB
- SHA256:
- cb8ea77033c64d3688ad82f49779e58b874719c7b5973aee273eac5bb03a1aeb
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