Instructions to use aleegis12/867b53c6-a812-40b9-98c0-16a86c0c29c8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/867b53c6-a812-40b9-98c0-16a86c0c29c8 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, "aleegis12/867b53c6-a812-40b9-98c0-16a86c0c29c8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 868a757a745519775b4b7248a9f54d3683ef53e0b169de2e07070934a6f9a246
- Size of remote file:
- 6.84 kB
- SHA256:
- b1af337dfa880b54ce3e8b16907fb606da5fbe0953bbdaf9db57606c38139474
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