Instructions to use jblkjb/finetunedPHP_starcoder2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jblkjb/finetunedPHP_starcoder2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "jblkjb/finetunedPHP_starcoder2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jblkjb/finetunedPHP_starcoder2: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/jblkjb/finetunedPHP_starcoder2/resolve/main/training_args.bin
- Command line
-
hf download hf://jblkjb/finetunedPHP_starcoder2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jblkjb/finetunedPHP_starcoder2/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 46f9fdc531fbe3486115ce4b8b01949f78f1c73393599cb37e4c71f3438a32f3
- Size of remote file:
- 4.98 kB
- SHA256:
- 95927694920dbf5750c31c28547b46f15fd78b702be4b33c511e67173fd98fe7
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