Instructions to use ahabb/codeT5-base-latex_to_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahabb/codeT5-base-latex_to_python with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ahabb/codeT5-base-latex_to_python") model = AutoModelForSeq2SeqLM.from_pretrained("ahabb/codeT5-base-latex_to_python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ahabb/codeT5-base-latex_to_python: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/ahabb/codeT5-base-latex_to_python/resolve/main/model.safetensors
- Command line
-
hf download hf://ahabb/codeT5-base-latex_to_python/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ahabb/codeT5-base-latex_to_python/resolve/main/model.safetensors
892 MB
- Xet hash:
- 188f0d41e0523e3a01f75136ebbae07dc3b47958668826f075ef643ae42e9282
- Size of remote file:
- 892 MB
- SHA256:
- 273b4c0eb3ee9214b9f0ff4826044af8d88effbaa80625419c26afb3fe7c2aed
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