Instructions to use distilbert/distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distilbert/distilroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="distilbert/distilroberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("distilbert/distilroberta-base") model = AutoModelForMaskedLM.from_pretrained("distilbert/distilroberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48d99a4179dc032a114ae7489a7152022ca901903669df99bc004ddef175ba07
- Size of remote file:
- 487 MB
- SHA256:
- 92d6207eedd0c3de4cf64f23c8746aa90c385820405e489757a32dfb00e7802a
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