Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use syssec-utd/py313-pylingual-v3-statement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py313-pylingual-v3-statement with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py313-pylingual-v3-statement") model = AutoModelForSeq2SeqLM.from_pretrained("syssec-utd/py313-pylingual-v3-statement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eaabcd918a7ec41a70d8c528e5f069c741181faab4f892ae030e5ab72a3e0864
- Size of remote file:
- 5.52 kB
- SHA256:
- a71242b4e015080d43bc27028cf7a619f4735f6f936509ef8962c9af1077226d
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