Instructions to use obokkkk/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obokkkk/mt5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("obokkkk/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("obokkkk/mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from obokkkk/mt5-base: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/obokkkk/mt5-base/resolve/main/training_args.bin
- Command line
-
hf download hf://obokkkk/mt5-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/obokkkk/mt5-base/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- be85122b99ab04d3c5c70bc3a73485d9abed2c1026861706516072dee7afb3d7
- Size of remote file:
- 3.18 kB
- SHA256:
- e5a40622c4f39caa7d4fdec41e6fda98a8384ad1fe60f8decdf35946be05db31
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