Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use syssec-utd/py314-pylingual-v7-statement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py314-pylingual-v7-statement with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py314-pylingual-v7-statement") model = AutoModelForSeq2SeqLM.from_pretrained("syssec-utd/py314-pylingual-v7-statement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from syssec-utd/py314-pylingual-v7-statement: direct link, hf CLI and curl.
- Browser
- Download file 5.52 kB
-
https://huggingface.co/syssec-utd/py314-pylingual-v7-statement/resolve/main/training_args.bin
- Command line
-
hf download hf://syssec-utd/py314-pylingual-v7-statement/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/syssec-utd/py314-pylingual-v7-statement/resolve/main/training_args.bin
5.52 kB
- Xet hash:
- 691a040cfa3337e21379547054e556a4b1379cd05d7d2859f0741d93c13a277e
- Size of remote file:
- 5.52 kB
- SHA256:
- 484b2eba1e2b0142d7177c95d896125749bfa24be0e10d635340d61d72ca1ba1
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