Instructions to use prxy5605/6e51a5cb-0cd5-4f52-9f14-d9ebb7b89cec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/6e51a5cb-0cd5-4f52-9f14-d9ebb7b89cec with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "prxy5605/6e51a5cb-0cd5-4f52-9f14-d9ebb7b89cec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eac3bf4c50a348fc9800f8e717626061a577305d011e761d58598ad912a00318
- Size of remote file:
- 1.06 kB
- SHA256:
- 705cabf5cbc3a6ab0feb67c77b9b453d59efcc939ce90d310af96e621810f990
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