Instructions to use Spandan98/SAS_Metadata_Adaptor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Spandan98/SAS_Metadata_Adaptor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "Spandan98/SAS_Metadata_Adaptor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93cb61236f5891945c9980c820882b68d324691c23bad07bcb00f1d4b3130563
- Size of remote file:
- 5.24 kB
- SHA256:
- 15e39b90ac308c399b7a54c097082d09186d2d2af1714dbe326284cca510fdfd
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