Instructions to use abhi1nandy2/Europarl-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi1nandy2/Europarl-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abhi1nandy2/Europarl-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abhi1nandy2/Europarl-roberta-base") model = AutoModelForMaskedLM.from_pretrained("abhi1nandy2/Europarl-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d15e25e9bf5c0a118673e1691e3044c7d16666e82936af3c8c0cd7630e9b6d72
- Size of remote file:
- 499 MB
- SHA256:
- 6cb65c93251d23f8b2fda4b0723b463e2fffaa1ce2c18ddf28ba828f0c13b47a
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