Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use syssec-utd/py36-pylingual-v1-statement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py36-pylingual-v1-statement with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py36-pylingual-v1-statement") model = AutoModelForSeq2SeqLM.from_pretrained("syssec-utd/py36-pylingual-v1-statement") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7512c42d1df519b5522c202c651abf89d2fa44e0c2cd597549547d84c5b6cfad
- Size of remote file:
- 5.62 kB
- SHA256:
- fadf71aa84ef2ae00033978ddd10b8c739ac2ba9c830ab5c6fdc3dc4f6ddd80c
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