Instructions to use vladjr/mt5-base-teste2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vladjr/mt5-base-teste2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vladjr/mt5-base-teste2") model = AutoModelForSeq2SeqLM.from_pretrained("vladjr/mt5-base-teste2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vladjr/mt5-base-teste2: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/vladjr/mt5-base-teste2/resolve/main/tokenizer.json
- Command line
-
hf download hf://vladjr/mt5-base-teste2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vladjr/mt5-base-teste2/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 727f32376bf829b6c23d57985279343a43da1afd6ecf5dae47bd1608e7b59035
- Size of remote file:
- 16.3 MB
- SHA256:
- 7723ef4657f28d318b7de49edfa0fddff5ac8cedca4747782d597d10b416d58b
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