Instructions to use gowitheflow/LASER-cubed-bert-base-unsup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflow/LASER-cubed-bert-base-unsup with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gowitheflow/LASER-cubed-bert-base-unsup") model = AutoModel.from_pretrained("gowitheflow/LASER-cubed-bert-base-unsup", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gowitheflow/LASER-cubed-bert-base-unsup: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
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https://huggingface.co/gowitheflow/LASER-cubed-bert-base-unsup/resolve/main/tokenizer.json
- Command line
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hf download hf://gowitheflow/LASER-cubed-bert-base-unsup/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/gowitheflow/LASER-cubed-bert-base-unsup/resolve/main/tokenizer.json
712 kB
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