Instructions to use eeeebbb2/052e813f-70b6-4038-adb7-a826a5f24633 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/052e813f-70b6-4038-adb7-a826a5f24633 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, "eeeebbb2/052e813f-70b6-4038-adb7-a826a5f24633") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50ad1145880d612218d69b1a59df5d4be6e8aacef834068279fb41b5311c4f7d
- Size of remote file:
- 6.84 kB
- SHA256:
- 1f822e3abf4002a9004386a888d2999ed8a8c4bccaf598685ac458c645a3a734
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