Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use ArhamNaeem/py_code_gen_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArhamNaeem/py_code_gen_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ArhamNaeem/py_code_gen_t5") model = AutoModelForSeq2SeqLM.from_pretrained("ArhamNaeem/py_code_gen_t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7f363203cc78e242bb329df3eebe9e2cf8ed4c8536b982cc7fa3bfaa0e2c264
- Size of remote file:
- 5.18 kB
- SHA256:
- 1dcb5d400bce229ce10409e29c8b95b7f7a5f7d5a522e5c23946f1506450d80a
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