Instructions to use dimasik1987/bfd75200-f9fc-4217-824f-eb6aa1a4f9a2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik1987/bfd75200-f9fc-4217-824f-eb6aa1a4f9a2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("garage-bAInd/Camel-Platypus2-70B") model = PeftModel.from_pretrained(base_model, "dimasik1987/bfd75200-f9fc-4217-824f-eb6aa1a4f9a2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfa4760b6e17a304cc6507e25f0041daa2b3c5f31b7274050d24f3f9ff3e3ce5
- Size of remote file:
- 6.78 kB
- SHA256:
- c265a7b9ab686eb8a3fcfe30e82991e06c995d329414057c7c6a805da41c1689
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