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:
- bbb3bf704bda2b6c081234b58d9567ab8afd60a360138e26eb2550c625f5ebf4
- Size of remote file:
- 331 MB
- SHA256:
- ec1ed6ff4c9753d2fc41ddf4a63cc099697b6cfc308f3df668659e8d16f84c57
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