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:
- dd766af2b69ef15ff3b8530c69830a6d94ae82092ef5cd117d52a4601d529145
- Size of remote file:
- 6.84 kB
- SHA256:
- bf325f67e4fb96e4aeaea847149621518a4d4f38fff0484f68f150f75c47b3b6
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