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 tokenizer.json from psxjp5/mt5-small: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/psxjp5/mt5-small/resolve/main/tokenizer.json
- Command line
-
hf download hf://psxjp5/mt5-small/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/psxjp5/mt5-small/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 3e5ea5ac3c4cef78e053d494bad39e399586691e532ad2de689cf55fab8b954e
- Size of remote file:
- 16.3 MB
- SHA256:
- a72d13f024648f47e4575f912fac4d57bad69256dad8e575266181a339f06bc8
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