Instructions to use nttx/c6d3fe62-ba04-4ca4-83c4-bd2a35d2e0a9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/c6d3fe62-ba04-4ca4-83c4-bd2a35d2e0a9 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, "nttx/c6d3fe62-ba04-4ca4-83c4-bd2a35d2e0a9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ab4cb2c51e44d5351a6a7cd17f07fd32968721ccda0643bedbcf2efd8aba066
- Size of remote file:
- 671 MB
- SHA256:
- bd4ef586430f6b5fa08b9a08a175fb0ced498c22460ac4bfc94de3d12299eeab
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