Instructions to use souging/e0e1aab0-e5ff-46cc-91e4-9c707fb4bbe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/e0e1aab0-e5ff-46cc-91e4-9c707fb4bbe5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "souging/e0e1aab0-e5ff-46cc-91e4-9c707fb4bbe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb2ca9e2bf4a44aed8d08c6ceae7f0f64d4e9cc26218256f0a6aa6f3bfe25508
- Size of remote file:
- 1.06 kB
- SHA256:
- 5f4fe8e328be6e10e053e14666b2e571c45c73d9a8291556b08910e3da67b3e6
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