Transformers
PyTorch
TensorBoard
mt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use psxjp5/mt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psxjp5/mt5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("psxjp5/mt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("psxjp5/mt5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from psxjp5/mt5-small: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/psxjp5/mt5-small/resolve/main/training_args.bin
- Command line
-
hf download hf://psxjp5/mt5-small/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/psxjp5/mt5-small/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 620b816226a7f6cb3fc3968f0cb9ec95ffbf8373486cc377cc0758db4402d6ca
- Size of remote file:
- 4.09 kB
- SHA256:
- 4e57cd85f879fbd3d02419bf138e5faf33e7c42c36cda8631038767dce564eaf
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