Instructions to use vdos/dfd28e65-6a48-4ec3-9ffd-feec646d0d69 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/dfd28e65-6a48-4ec3-9ffd-feec646d0d69 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "vdos/dfd28e65-6a48-4ec3-9ffd-feec646d0d69") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3191661213a187503f96d673dfbee217c18e160291fe159c8eb6595736ce59fd
- Size of remote file:
- 336 MB
- SHA256:
- 9a6e24b13ffad5103356d157aae077ca03496a16df89c3d064a88f32ed07f18f
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