Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use syssec-utd/py314-pylingual-v9-statement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py314-pylingual-v9-statement with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py314-pylingual-v9-statement") model = AutoModelForSeq2SeqLM.from_pretrained("syssec-utd/py314-pylingual-v9-statement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from syssec-utd/py314-pylingual-v9-statement: direct link, hf CLI and curl.
- Browser
- Download file 5.52 kB
-
https://huggingface.co/syssec-utd/py314-pylingual-v9-statement/resolve/main/training_args.bin
- Command line
-
hf download hf://syssec-utd/py314-pylingual-v9-statement/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/syssec-utd/py314-pylingual-v9-statement/resolve/main/training_args.bin
5.52 kB
- Xet hash:
- e21e0b678c252216dc7f87ec32635b99e93b60265c507c837156df4c948b80be
- Size of remote file:
- 5.52 kB
- SHA256:
- 3840d6a51e43e932cfb01e99ec35bd0b12fc49c0b2d937329ab85521e6d4bf66
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