Instructions to use ixa-ehu/ixambert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ixa-ehu/ixambert-base-cased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ixa-ehu/ixambert-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ixa-ehu/ixambert-base-cased: direct link, hf CLI and curl.
- Browser
- Download file 24 Bytes
-
https://huggingface.co/ixa-ehu/ixambert-base-cased/resolve/main/tokenizer_config.json
- Command line
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hf download hf://ixa-ehu/ixambert-base-cased/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/ixa-ehu/ixambert-base-cased/resolve/main/tokenizer_config.json
24 Bytes
| {"do_lower_case":false} | |