Instructions to use goodlucky55555/f9dfa45d-9a17-4aa6-82c9-70486f40da45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goodlucky55555/f9dfa45d-9a17-4aa6-82c9-70486f40da45 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-SOLAR-10.7B") model = PeftModel.from_pretrained(base_model, "goodlucky55555/f9dfa45d-9a17-4aa6-82c9-70486f40da45") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33d9636019cd0935aca4a383a0e459cd64783e7b330acbcf0f965ed977218dba
- Size of remote file:
- 126 MB
- SHA256:
- 9a19ee48fe840235e0a87b1895e233bc6fa1c2bd3517c2648613f94a319c8e6b
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