Instructions to use tuantmdev/bf68cff7-e186-48ab-aae8-b40cf3cfbf1f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/bf68cff7-e186-48ab-aae8-b40cf3cfbf1f 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, "tuantmdev/bf68cff7-e186-48ab-aae8-b40cf3cfbf1f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0fbb8f02b092719a3e7ec935f4044e9d0ca47f91998333cfe27f1c8024c60b0
- Size of remote file:
- 6.78 kB
- SHA256:
- aa9379161d8c2e79e57c515ec025e4ce27a081bc4bc7cb1ceaf9d858160ab017
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