Instructions to use cvoffer/61b62c26-590a-47bd-8020-66bdb66fba8c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cvoffer/61b62c26-590a-47bd-8020-66bdb66fba8c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "cvoffer/61b62c26-590a-47bd-8020-66bdb66fba8c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fba4bfe39d7b41187b2f4e00f99edcc30892532c117d4ff79ed4f19877e207a
- Size of remote file:
- 336 MB
- SHA256:
- 225fd28aa4689231d49ab97a53b23c05ca05e0891d4a5aa361ef0b8c24280dd9
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