Instructions to use yanghuattt/starcoderbase-1b-pii-stackv2-demo-api with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yanghuattt/starcoderbase-1b-pii-stackv2-demo-api with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "yanghuattt/starcoderbase-1b-pii-stackv2-demo-api") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yanghuattt/starcoderbase-1b-pii-stackv2-demo-api: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/yanghuattt/starcoderbase-1b-pii-stackv2-demo-api/resolve/main/training_args.bin
- Command line
-
hf download hf://yanghuattt/starcoderbase-1b-pii-stackv2-demo-api/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yanghuattt/starcoderbase-1b-pii-stackv2-demo-api/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 8fd82be4e9d6b3f786d2907c32e46bbbf92386e3a71ff1285140044b959a8024
- Size of remote file:
- 5.78 kB
- SHA256:
- e74eb17e5b2dca2cfd97e4a2d7c1af7c951d9b7d4b594f892c71695ad405af42
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