Instructions to use mparts/CODer-unixcoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mparts/CODer-unixcoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mparts/CODer-unixcoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mparts/CODer-unixcoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download seed3/binary_generate/tokenizer.json from mparts/CODer-unixcoder: direct link, hf CLI and curl.
- Browser
- Download file 2.14 MB
-
https://huggingface.co/mparts/CODer-unixcoder/resolve/main/seed3/binary_generate/tokenizer.json
- Command line
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hf download hf://mparts/CODer-unixcoder/seed3/binary_generate/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/mparts/CODer-unixcoder/resolve/main/seed3/binary_generate/tokenizer.json
2.14 MB
File too large to display, you can check the raw version instead.