Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use syssec-utd/py314-pylingual-v5-statement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py314-pylingual-v5-statement with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py314-pylingual-v5-statement") model = AutoModelForSeq2SeqLM.from_pretrained("syssec-utd/py314-pylingual-v5-statement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c979cb357b8c51ded99c91a413a6ca80638342d44045f12aea915e7ab92d762
- Size of remote file:
- 5.52 kB
- SHA256:
- aaff01a4d40200ce16ecd81a7258d98ba6cd7b9d9f258bbc60a411d35dff6a99
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