Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use syssec-utd/py315-pylingual-v3-statement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py315-pylingual-v3-statement with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py315-pylingual-v3-statement") model = AutoModelForSeq2SeqLM.from_pretrained("syssec-utd/py315-pylingual-v3-statement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- babc44943ac2659490423a33b8e25b7721e39b684fd773f0f4f1ce30ee7d948f
- Size of remote file:
- 5.52 kB
- SHA256:
- a9a117ab03ec523d7b51aa20104a7d7e8a25ee0d2a720d4ad17d515b61d8af53
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