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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 996ffa4264b18506d950e4e6a367440de7a484654ccccf1403a2fb6b2f7eec92
- Size of remote file:
- 438 MB
- SHA256:
- a30e8ad7c45bc50ca9668256aa18e62b24acffef19a84b9e67bfb2c3c2a16826
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