Instructions to use EdBerg/Combined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Combined with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("inceptionai/jais-adapted-13b-chat") model = PeftModel.from_pretrained(base_model, "EdBerg/Combined") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e7181a29ce8bdf37a26ae00c774b2d1efb871b06a1c0738a7b2adc0d0f2ffd2
- Size of remote file:
- 5.43 kB
- SHA256:
- 9edf6a798c7cba340b7285d5fff61dc42ba52e30bbebaa771551f53b30487f6d
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