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 pytorch_model.bin from psxjp5/mt5-small_test_35: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/psxjp5/mt5-small_test_35/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://psxjp5/mt5-small_test_35/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/psxjp5/mt5-small_test_35/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- a184692ec0d545fb690cf300ec923fd841090ce9982c66487892202ccb7a50bb
- Size of remote file:
- 1.2 GB
- SHA256:
- 21fe394db1faacd3abbcd1c732f2a1225f427f3ebd231b63a2acb52b8a1bd053
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