Instructions to use ixa-ehu/roberta-eus-euscrawl-large-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ixa-ehu/roberta-eus-euscrawl-large-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ixa-ehu/roberta-eus-euscrawl-large-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ixa-ehu/roberta-eus-euscrawl-large-cased") model = AutoModelForMaskedLM.from_pretrained("ixa-ehu/roberta-eus-euscrawl-large-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (f68666e750f4ab4e1915482f0a61f82800a5fbd1) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>3c277ae
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README updated
ixa-ehu8762305 -
README updated
ixa-ehudd10723 -
roberta-eus-euscrawl-large-cased model upload
ixa-ehu348bbe2 -
Update README.md
Ixa taldea435520c -
initial commit
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