Instructions to use TharunSivamani/starcoder-1b-kubeflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TharunSivamani/starcoder-1b-kubeflow with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "TharunSivamani/starcoder-1b-kubeflow") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 192a9a3dc2fcc32fe9c9d1e0664e18c1d187541bfcf1c5ce84286045cc8d620e
- Size of remote file:
- 5.24 kB
- SHA256:
- cf0bab29e9b3132b540b844be698b8d6cee10ba9f03ea8a1a2c3173e08e976c0
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