Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use syssec-utd/py314-pylingual-v6-statement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py314-pylingual-v6-statement with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py314-pylingual-v6-statement") model = AutoModelForSeq2SeqLM.from_pretrained("syssec-utd/py314-pylingual-v6-statement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5d2052ec77fd14c3317f68120b747c2039953be1f6cd77deaec9989cfbccd76
- Size of remote file:
- 5.52 kB
- SHA256:
- c1b99b3e4e7b42d9adb2b771dff55c90ad3de17732eb90a684385c66ac386f16
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