distilbert/distilbert-base-uncased
fill-mask model by distilbert
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Model card & documentation
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This model is a distilled version of the BERT base model. It was introduced in this paper. The code for the distillation process can be found here. This model is uncased: it does not make a difference between english and English. DistilBERT is a transformers model, smaller and faster than BERT, which was pretrained on the same corpus in a self-supervised fashion, using the BERT base model as a teacher. This means it was pretrained on the raw texts only, with no humans labelling them in any way (which is why it can use lots of publicly available data) with an automatic process to generate inputs and labels from those texts using the BERT base model. More precisely, it was pretrained with three objectives: sentence, the model randomly masks 15% of the words in the input then run the entire masked sentence through the model and has to predict the…
Read the full model card ↗ · Preview checked 2026-10-28T17:33:03.416Z
Inside the original model card — Document outline
- DistilBERT base model (uncased)
- Model description
- Intended uses & limitations
- How to use
- Limitations and bias
- Training data
- Training procedure
- Preprocessing
- Pretraining
- Evaluation results
- BibTeX entry and citation info
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
distilbert/distilbert-base-uncased is a fill-mask model repository published by distilbert on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- fill-mask
- Library
- transformers
- Recent downloads (30 days)
- 6,105,411
- Cumulative likes
- 1,141
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 66,985,530
- Architecture
- DistilBertForMaskedLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:04.000Z
- Last modified
- 2024-05-06T13:44:53.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:31.990Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.