Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use syssec-utd/py37-pylingual-v1-statement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py37-pylingual-v1-statement with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py37-pylingual-v1-statement") model = AutoModelForSeq2SeqLM.from_pretrained("syssec-utd/py37-pylingual-v1-statement") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc821b7603c8d3c21bdcb94f1a1307faad438a3d49467947a59ce86de5b3de10
- Size of remote file:
- 5.62 kB
- SHA256:
- f59f0388ed42d3c662b13f6a1f5916cbd185b58b5e1674b63d52bde47b7b30bb
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