Instructions to use vmpsergio/89761987-b232-472d-90d8-61292e37bf25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vmpsergio/89761987-b232-472d-90d8-61292e37bf25 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/89761987-b232-472d-90d8-61292e37bf25") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e65078363e3bc3d3c4f0c05610b11b0ac99ba9c97f2031436869bc3dce881ea1
- Size of remote file:
- 336 MB
- SHA256:
- 3d536c2e488be0b52b87f3d15f0549618722d13da183afaca95e19e83fa678bc
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