Instructions to use beast33/154f3c0a-335f-498b-adee-b92f6e62c489 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/154f3c0a-335f-498b-adee-b92f6e62c489 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "beast33/154f3c0a-335f-498b-adee-b92f6e62c489") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 629386076ca3ed2c8d7ad80f7990c830a8e47480dc48779a5c3dda8a20ae9506
- Size of remote file:
- 6.84 kB
- SHA256:
- 931f6f2d56931be14f19d736905a7a1c452e2c5b740a9c725e742e312e522389
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