Instructions to use ixa-ehu/roberta-eus-cc100-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-cc100-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-cc100-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ixa-ehu/roberta-eus-cc100-base-cased") model = AutoModelForMaskedLM.from_pretrained("ixa-ehu/roberta-eus-cc100-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84972713849c278037af9901e41f3dd27ad2e1e6ac3a89da2cabaee326eb33d5
- Size of remote file:
- 652 MB
- SHA256:
- 7ebbd5df103ea564b6fc2ab110c17288ba259df9b593ea154013f05be06fc2db
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