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:
- de6fec37eb9727c985068cf792c2145de3e2a9c107aac6388baf904e799be1c3
- Size of remote file:
- 6.78 kB
- SHA256:
- fb7f54e9141a31d1d955a38df4e4ba60e1e3dde7e7238514e26fe592bc3a396d
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