Instructions to use vmpsergio/388fced2-7194-4f76-84cc-5abb47ae505f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vmpsergio/388fced2-7194-4f76-84cc-5abb47ae505f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "vmpsergio/388fced2-7194-4f76-84cc-5abb47ae505f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1f3e0b27e3b8c3ff733ac1485950cc889bb981bb3ee17cd8107fa12a68e2df8
- Size of remote file:
- 671 MB
- SHA256:
- 4284f13dbaa83a8d90613368531f124c49f2a9e94e6e3ee96dca48ad585d34c3
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