Instructions to use ixa-ehu/berteus-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ixa-ehu/berteus-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ixa-ehu/berteus-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ixa-ehu/berteus-base-cased") model = AutoModel.from_pretrained("ixa-ehu/berteus-base-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfe4bb3604692c97c8a2859634db60b60d008dab0434517b06d3755e32d61e09
- Size of remote file:
- 498 MB
- SHA256:
- e0bf523551be9176a9bad3d3674b14ac833a1be908a5b53da844349e21f27283
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