Instructions to use aleegis09/b8fd1f8f-e235-4451-a30a-9467a7175c5c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/b8fd1f8f-e235-4451-a30a-9467a7175c5c 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, "aleegis09/b8fd1f8f-e235-4451-a30a-9467a7175c5c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01b8fcfc4b040a9ad9808b9fc9a6343f3374a3c0cfe855b7fc26737941bea3e3
- Size of remote file:
- 671 MB
- SHA256:
- 843f4503008953555c3a4cd77dd3370edea319546f9e0c9fd7072cf3b184bca4
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