Instructions to use beast33/c3fc998a-adb9-4265-a6f1-dcc6e72146cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/c3fc998a-adb9-4265-a6f1-dcc6e72146cd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "beast33/c3fc998a-adb9-4265-a6f1-dcc6e72146cd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dff9300f269507d48f0e9ce880a0225f29b92b325c9126be650e8793f353e9fd
- Size of remote file:
- 36.3 MB
- SHA256:
- 7ff5a0e5df0f6b36df66c0ea6b4a47bb95d90e5b646dbb7f92f684477a424398
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