Instructions to use demohong/e53f0620-4da2-44fd-9f86-99ef551ed292 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/e53f0620-4da2-44fd-9f86-99ef551ed292 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "demohong/e53f0620-4da2-44fd-9f86-99ef551ed292") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 191eb7380fa3889ca6abc8d075522a6641539b7428df59091b3bdc9f8df58b6c
- Size of remote file:
- 25.3 MB
- SHA256:
- f205b536c93482898ee1dc55bc5da34070010c2490c0efabd811d8fbeccea3db
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