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:
- 2ee7785b1ffd263f48b3686f5813d5f76d0a1cbf477acaa43a82e8daf2b25163
- Size of remote file:
- 17.2 MB
- SHA256:
- 18656043d3999331a98e43a10816aeee61f32f08d040685e527032cee016a1aa
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