Instructions to use 0x1202/0d50f72b-a78b-4844-9477-00355bf7804e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/0d50f72b-a78b-4844-9477-00355bf7804e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "0x1202/0d50f72b-a78b-4844-9477-00355bf7804e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d348e0e8f4f8a7e364a08f4c0b0db9d2632508afa9b15e552174ceba7ad0d82f
- Size of remote file:
- 6.84 kB
- SHA256:
- bf013c5c821972af8d205cd930d59134ed88ff7bd02101077679f935d85eebdd
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