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
Training in progress, step 10000
Browse files
model.safetensors
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runs/Aug01_13-38-56_syssec-gpu4.utdallas.edu/events.out.tfevents.1785609536.syssec-gpu4.utdallas.edu
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runs/Aug02_13-38-21_syssec-gpu4.utdallas.edu/events.out.tfevents.1785695901.syssec-gpu4.utdallas.edu
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