Instructions to use beatrice12/mt5-base-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beatrice12/mt5-base-all with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("beatrice12/mt5-base-all") model = AutoModelForSeq2SeqLM.from_pretrained("beatrice12/mt5-base-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from beatrice12/mt5-base-all: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/beatrice12/mt5-base-all/resolve/main/tokenizer.json
- Command line
-
hf download hf://beatrice12/mt5-base-all/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/beatrice12/mt5-base-all/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 9d1c4d62b2ab3bf2e4e7d62c44754f167cb8cb85bdaf880f918e10e17779c9f9
- Size of remote file:
- 16.3 MB
- SHA256:
- 8cf2a14a94ce0311130a99a8664ee11c6d8c1d313d53f29c6b06f8fddfa5638a
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