Instructions to use OpenMatch/santa-code-python-adv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/santa-code-python-adv with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("OpenMatch/santa-code-python-adv") model = AutoModelForSeq2SeqLM.from_pretrained("OpenMatch/santa-code-python-adv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from OpenMatch/santa-code-python-adv: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/OpenMatch/santa-code-python-adv/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://OpenMatch/santa-code-python-adv/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/OpenMatch/santa-code-python-adv/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 4c94e33708c322ee316495804ac630328a7ec5699aeeab065f7779fb50aa8493
- Size of remote file:
- 892 MB
- SHA256:
- e018d8ee69f87fd0ae26d031a7daaadac2cd5352fc65bc4aac0790e0f929fdb3
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