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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from ixa-ehu/berteus-base-cased: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/ixa-ehu/berteus-base-cased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://ixa-ehu/berteus-base-cased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/ixa-ehu/berteus-base-cased/resolve/main/flax_model.msgpack
498 MB
- Xet hash:
- f1b5dcaa1e9e2283ea7c979f33068dbcdc7a8b11c954ca4b41dca7cd5aabb16d
- Size of remote file:
- 498 MB
- SHA256:
- 8d62e536adc99f79283ffc914f44de21fbe6d66e31da46e917a3929cfea80a5d
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