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 pytorch_model.bin from psxjp5/mt5-small: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/psxjp5/mt5-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://psxjp5/mt5-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/psxjp5/mt5-small/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- 8848b6e80be73b239cbc169f0756265d81b29d674f86e551438182c754d682c7
- Size of remote file:
- 1.2 GB
- SHA256:
- 28e7588cde0f2c4f9db1059be9ac0d7681024cb8f3937d7951925730a6b5666a
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