Instructions to use obokkkk/mt5-base_2_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obokkkk/mt5-base_2_3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("obokkkk/mt5-base_2_3") model = AutoModelForSeq2SeqLM.from_pretrained("obokkkk/mt5-base_2_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from obokkkk/mt5-base_2_3: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/obokkkk/mt5-base_2_3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://obokkkk/mt5-base_2_3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/obokkkk/mt5-base_2_3/resolve/main/pytorch_model.bin
2.33 GB
- Xet hash:
- 2c99a9c9de91c21ce0c583facdf018478a4ea9a7948f0d4e43c30fe377355610
- Size of remote file:
- 2.33 GB
- SHA256:
- 7785a642aabc65416e2c1738a2356aed9dc6837662098046643d70504b42726d
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