Instructions to use arvindkaphley/finetune_starcoder2_with_Ruby_Data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arvindkaphley/finetune_starcoder2_with_Ruby_Data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "arvindkaphley/finetune_starcoder2_with_Ruby_Data") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from arvindkaphley/finetune_starcoder2_with_Ruby_Data: direct link, hf CLI and curl.
- Browser
- Download file 2.06 MB
-
https://huggingface.co/arvindkaphley/finetune_starcoder2_with_Ruby_Data/resolve/f62bbddaeec3790bed006bbb2740fa016f68f882/tokenizer.json
- Command line
-
hf download hf://arvindkaphley/finetune_starcoder2_with_Ruby_Data@f62bbddaeec3790bed006bbb2740fa016f68f882/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/arvindkaphley/finetune_starcoder2_with_Ruby_Data/resolve/f62bbddaeec3790bed006bbb2740fa016f68f882/tokenizer.json
2.06 MB
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