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 tokenizer.json from obokkkk/mt5-base: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/obokkkk/mt5-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://obokkkk/mt5-base/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/obokkkk/mt5-base/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 5ce15f1e4902a671514e6cc509e976bee7030d4bb1fced72a481b13e63fec044
- Size of remote file:
- 16.3 MB
- SHA256:
- af95700bf514fc57a9f58055fec955839f0a378f707ddbc3df840291cbb709db
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