Instructions to use JB1522/starcoder7b-trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JB1522/starcoder7b-trained with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-7b") model = PeftModel.from_pretrained(base_model, "JB1522/starcoder7b-trained") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from JB1522/starcoder7b-trained: direct link, hf CLI and curl.
- Browser
- Download file 3.48 MB
-
https://huggingface.co/JB1522/starcoder7b-trained/resolve/main/tokenizer.json
- Command line
-
hf download hf://JB1522/starcoder7b-trained/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/JB1522/starcoder7b-trained/resolve/main/tokenizer.json
3.48 MB
File too large to display, you can check the raw version instead.