Instructions to use nhungphammmmm/bce1761b-5bd8-4189-972f-9a5a5922c8ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/bce1761b-5bd8-4189-972f-9a5a5922c8ca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/bce1761b-5bd8-4189-972f-9a5a5922c8ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b5fa1c656f3b21843f05bd9b7a10984f9fd6bcc07a1e4b08eb4f770b78954c2
- Size of remote file:
- 4.75 MB
- SHA256:
- 182c16e5c4045ba645d49e37e05cbfca5345f1f66680d4bb567e4a14c98518aa
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