Instructions to use chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ce0dcd25099f68f810c531572a86c0bb91364bb80da0f5287e8294fa720abea
- Size of remote file:
- 6.78 kB
- SHA256:
- 4a00715ef0a89f6f95eac1620884acfdf5fffe37b1b49e368c2811bee9d778ac
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