Instructions to use psxjp5/mt5-small_old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psxjp5/mt5-small_old with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("psxjp5/mt5-small_old") model = AutoModelForSeq2SeqLM.from_pretrained("psxjp5/mt5-small_old", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from psxjp5/mt5-small_old: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/psxjp5/mt5-small_old/resolve/main/training_args.bin
- Command line
-
hf download hf://psxjp5/mt5-small_old/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/psxjp5/mt5-small_old/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 54f3d8292cc55099dab947ebdf8f8a9970313ece49e1996104f9120b87e8d8b1
- Size of remote file:
- 4.09 kB
- SHA256:
- de8959f449c3fd92754574dca6efa9b60a869bcef188136da8633dd60d21e399
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