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:
- 66da7aab9ab388ee5d793f35e38ea90fff21bb082d31a902ee4d8893264cd505
- Size of remote file:
- 5.24 kB
- SHA256:
- cc2c959bf3105228f34aed86a22abe54a5225dc9f8fd2ef39a3a3f08bc1494c7
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