Instructions to use Spandan98/R_Python_Adaptor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Spandan98/R_Python_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/R_Python_Adaptor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab74724bd7a5689d0c604ef5d59bcf3789c4196d16b45112bb0aff6151ac980e
- Size of remote file:
- 18.2 MB
- SHA256:
- b7ad7b90e10697db3356b071a8738c2143b680f22e7dffc21fbfb9ba1c4e1046
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