Instructions to use keshav1354/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use keshav1354/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-7b") model = PeftModel.from_pretrained(base_model, "keshav1354/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 497fdf4569bac7d11ecb5451777307bf6f01280b8911339d60c1e4fbb437444d
- Size of remote file:
- 5.43 kB
- SHA256:
- db1e769b3844368ae919209e566c3d1d458db3a977e9230e9d49a7ca4a1ce086
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