Instructions to use distilbert/distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distilbert/distilbert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="distilbert/distilbert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("distilbert/distilbert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("distilbert/distilbert-base-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
Updates incorrect tokenizer configuration file (#12)
Browse files- Adds tokenizer_config.json file (a554786b79131e029e454a06bdd0626f36523c63)
- tokenizer_config.json +1 -3
tokenizer_config.json
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{
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"do_lower_case": true
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}
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{"do_lower_case": true, "model_max_length": 512}
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