Instructions to use datlaaaaaaa/81cc8bf0-bb23-4f08-8ecc-e1e590066039 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/81cc8bf0-bb23-4f08-8ecc-e1e590066039 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, "datlaaaaaaa/81cc8bf0-bb23-4f08-8ecc-e1e590066039") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95a60ec1e5d0a7c7d293bedda77b597b8e36cdb7484f8bc8af78680f843a4256
- Size of remote file:
- 6.78 kB
- SHA256:
- 7f06265eb79705a8d12ec20ea5b43d7116fb0babb0bc0f115ae292b83fe2e6c2
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