Instructions to use ixa-ehu/roberta-eus-euscrawl-base-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-base-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-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ixa-ehu/roberta-eus-euscrawl-base-cased") model = AutoModelForMaskedLM.from_pretrained("ixa-ehu/roberta-eus-euscrawl-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcc11de88899e580127081e440ba75cefd4a0ae167c7c5dcab15e8793a19ce20
- Size of remote file:
- 1.17 MB
- SHA256:
- 8e160df24c5c69726dfc7099db8e610307ce0ab35d945070b59c3548c065f75d
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