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:
- b2dd40babdd33db43cb9ac9a115916e137302183a2a0d59bc805c02b3b9f20ef
- Size of remote file:
- 6.78 kB
- SHA256:
- 00bf6c4b84e1241862e699276162fe6fdf63a4824406f7caa43b1410ad8c7ff4
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