Instructions to use JB1522/starcoder7b-trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JB1522/starcoder7b-trained with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-7b") model = PeftModel.from_pretrained(base_model, "JB1522/starcoder7b-trained") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bc0602f5fe718ced4d90bbf60263eda02b47007d9dcf286e7831cad3218513c
- Size of remote file:
- 5.5 kB
- SHA256:
- dc76ed6bf9ce049a09c86f4e6d9dc210b2fe89f5f8c3d5d24262c840a318cf1d
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