Instructions to use psxjp5/mt5-small_test_35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psxjp5/mt5-small_test_35 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("psxjp5/mt5-small_test_35") model = AutoModelForSeq2SeqLM.from_pretrained("psxjp5/mt5-small_test_35", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from psxjp5/mt5-small_test_35: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/psxjp5/mt5-small_test_35/resolve/main/training_args.bin
- Command line
-
hf download hf://psxjp5/mt5-small_test_35/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/psxjp5/mt5-small_test_35/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- fc670cdef097f1c9c6edecffe14f8b450ce7e6db3633f4430b159dae99fe9aa8
- Size of remote file:
- 4.09 kB
- SHA256:
- 5fb01c44b0979ae0e11ee81d7d9ac9a83435ce35fc14e24169e2ee83a8c3897b
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