Instructions to use VictorEigen/docstring_codet5_20232731_1927 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VictorEigen/docstring_codet5_20232731_1927 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VictorEigen/docstring_codet5_20232731_1927") model = AutoModelForSeq2SeqLM.from_pretrained("VictorEigen/docstring_codet5_20232731_1927", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from VictorEigen/docstring_codet5_20232731_1927: direct link, hf CLI and curl.
- Browser
- Download file 1.09 GB
-
https://huggingface.co/VictorEigen/docstring_codet5_20232731_1927/resolve/main/tf_model.h5
- Command line
-
hf download hf://VictorEigen/docstring_codet5_20232731_1927/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/VictorEigen/docstring_codet5_20232731_1927/resolve/main/tf_model.h5
1.09 GB
- Xet hash:
- d5c2a1d8768cd6b3cf80b0b9c0408e2079496c61908f932a85c9800179ce6922
- Size of remote file:
- 1.09 GB
- SHA256:
- 19d57bdebf1140ea7132975eb62287c08e6082d5838c8b9ff3722d251434515a
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