Instructions to use sosuke/ease-bert-base-multilingual-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sosuke/ease-bert-base-multilingual-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sosuke/ease-bert-base-multilingual-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sosuke/ease-bert-base-multilingual-cased") model = AutoModel.from_pretrained("sosuke/ease-bert-base-multilingual-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sosuke/ease-bert-base-multilingual-cased: direct link, hf CLI and curl.
- Browser
- Download file 1.96 MB
-
https://huggingface.co/sosuke/ease-bert-base-multilingual-cased/resolve/main/tokenizer.json
- Command line
-
hf download hf://sosuke/ease-bert-base-multilingual-cased/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/sosuke/ease-bert-base-multilingual-cased/resolve/main/tokenizer.json
1.96 MB
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