Instructions to use velocemorte/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use velocemorte/peft-starcoder-lora-a100 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "velocemorte/peft-starcoder-lora-a100") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from velocemorte/peft-starcoder-lora-a100: direct link, hf CLI and curl.
- Browser
- Download file 2.06 MB
-
https://huggingface.co/velocemorte/peft-starcoder-lora-a100/resolve/main/tokenizer.json
- Command line
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hf download hf://velocemorte/peft-starcoder-lora-a100/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/velocemorte/peft-starcoder-lora-a100/resolve/main/tokenizer.json
2.06 MB
File too large to display, you can check the raw version instead.