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:
# pip install -U transformers accelerate # 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 model.safetensors 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/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://OpenMatch/santa-code-python-adv@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/OpenMatch/santa-code-python-adv/resolve/refs%2Fpr%2F1/model.safetensors
892 MB
- Xet hash:
- ca920e03717d4a06c4cd0d62505d252b7034bac00094985d46c7eee0e289042d
- Size of remote file:
- 892 MB
- SHA256:
- d72fa005f6e536e135b9deafa96fe36e586237e08347de79583d491e60358145
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