Instructions to use d4t4s3t/OpenHermes-2.5-Mistral-7B-CRAdapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use d4t4s3t/OpenHermes-2.5-Mistral-7B-CRAdapter 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, "d4t4s3t/OpenHermes-2.5-Mistral-7B-CRAdapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c6a4c0c8d7fa3ce865a272121cd341facd13d864497c039232bf7253be59829
- Size of remote file:
- 14.6 kB
- SHA256:
- a2fecbff4393c766d8397f85c254fc974eb0857c236612f6a0697cdbe8ffbe11
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