Instructions to use psxjp5/mt5-small_25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psxjp5/mt5-small_25 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("psxjp5/mt5-small_25") model = AutoModelForSeq2SeqLM.from_pretrained("psxjp5/mt5-small_25", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from psxjp5/mt5-small_25: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/psxjp5/mt5-small_25/resolve/main/training_args.bin
- Command line
-
hf download hf://psxjp5/mt5-small_25/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/psxjp5/mt5-small_25/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 7418b692eb40fabe8017114bf4800793a6c7fb04fac775ecd0f3ecf2fe61c3b7
- Size of remote file:
- 4.09 kB
- SHA256:
- 4c339c915852a6025be592fc65c4c6999da6c3a0eab3ba411cc70c241d8234ed
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