Instructions to use lordhiew/myfirsttrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lordhiew/myfirsttrain with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "lordhiew/myfirsttrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c361311fb84a8b3a37578787b2e4d9b0749fd206ec1f1a2e936fe3d08970a6c1
- Size of remote file:
- 9.85 MB
- SHA256:
- cec79ad11f5ccf1b87791f44bc93f8fc2b0228b04f78e4bd6b49b803ae5aab97
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