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:
- 155c853acca19c0c42f6ef3f47fb4d39ee4977bd38ad081e34545bf744a274f6
- Size of remote file:
- 242 MB
- SHA256:
- bbcb064e14d9a9c4e3c320825ceac173860ff89989ea6e7a4ad4343199d1fbac
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