Instructions to use demohong/8673e8d6-92cb-4d14-bbc7-1e4e60eb7f8f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/8673e8d6-92cb-4d14-bbc7-1e4e60eb7f8f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "demohong/8673e8d6-92cb-4d14-bbc7-1e4e60eb7f8f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3275c905ff398d5e5a90733f221bdf8b9c97018ed99014a3c99b4708026f787
- Size of remote file:
- 84 MB
- SHA256:
- e292f4ccc127c71ec6a1eacec6dc2c9d8ee77baa2b147f159c6a59085f4123e2
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