Instructions to use hongngo/77414aba-4b95-48e2-9fdb-34dfa8ef1598 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hongngo/77414aba-4b95-48e2-9fdb-34dfa8ef1598 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, "hongngo/77414aba-4b95-48e2-9fdb-34dfa8ef1598") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1b6a0ddb17a3ec209994198d78e07ece5c3574a8b2494767c6224f588168efa
- Size of remote file:
- 84 MB
- SHA256:
- 7ef9cf6f9cecaba83b51d002b93a3ee663d7d1d9a54db51544d70e10264d6ef1
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