Instructions to use Pranabit/finetune_starcoder2_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pranabit/finetune_starcoder2_3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "Pranabit/finetune_starcoder2_3b") - Notebooks
- Google Colab
- Kaggle
Download final_checkpoint/generation_config.json from Pranabit/finetune_starcoder2_3b: direct link, hf CLI and curl.
- Browser
- Download file 116 Bytes
-
https://huggingface.co/Pranabit/finetune_starcoder2_3b/resolve/main/final_checkpoint/generation_config.json
- Command line
-
hf download hf://Pranabit/finetune_starcoder2_3b/final_checkpoint/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Pranabit/finetune_starcoder2_3b/resolve/main/final_checkpoint/generation_config.json
116 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 0, | |
| "transformers_version": "4.40.0.dev0" | |
| } | |