Transformers
PyTorch
TensorBoard
t5
text2text-generation
dis2py
Generated from Trainer
text-generation-inference
Instructions to use simonnedved/codet5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonnedved/codet5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("simonnedved/codet5-base") model = AutoModelForSeq2SeqLM.from_pretrained("simonnedved/codet5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3eb7d8e4b0709fb51b06fb8b6aa7ab8b929f01bd141899ed97fb5743314d61c
- Size of remote file:
- 3.12 kB
- SHA256:
- edc2b1f2edcc0d5a403691131a8bc7abd57a0bc23016fcff58e92e95d6550ee6
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