Instructions to use nadiamaqbool81/codet5-large-hf-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nadiamaqbool81/codet5-large-hf-python with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nadiamaqbool81/codet5-large-hf-python") model = AutoModelForSeq2SeqLM.from_pretrained("nadiamaqbool81/codet5-large-hf-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dff212e9f03bf07121a3eb24ba25bcab4eff4b724b62671597fc2c244301f52
- Size of remote file:
- 1.88 GB
- SHA256:
- 89230a1877be9ccb80d627195a2d492ee215373bd2fc4bfb06f6d2223e8f8fd2
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