sentence-transformers/all-distilroberta-v1

sentence-similarity model by sentence-transformers

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This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. Using this model becomes easy when you have sentence-transformers installed: Then you can use the model like this: Without sentence-transformers, you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings. The project aims to train sentence embedding models on very large sentence level datasets using a self-supervised contrastive learning objective. We used the pretrained distilroberta-base model and fine-tuned in on a 1B sentence pairs dataset. We use a contrastive learning objective: given a sentence from the pair, the model should predict which out of a set of randomly sampled other sentences, was actually paired with it in our dataset. We developped this…

sentence-transformers/all-distilroberta-v1 on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. all-distilroberta-v1
  2. Usage (Sentence-Transformers)
  3. Usage (HuggingFace Transformers)
  4. Background
  5. Intended uses
  6. Training procedure
  7. Pre-training
  8. Fine-tuning
  9. Hyper parameters
  10. Training data

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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

sentence-transformers/all-distilroberta-v1 is a sentence-similarity model repository published by sentence-transformers on Hugging Face. The source reports the sentence-transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
sentence-similarity
Library
sentence-transformers
Recent downloads (30 days)
2,828,537
Cumulative likes
56
Hugging Face trending score
0
Reported safetensors parameters
82,118,914
Architecture
RobertaForMaskedLM
License
apache-2.0
Access
Not gated by Hugging Face
Created
2022-03-02T23:29:05.000Z
Last modified
2025-03-06T13:35:55.000Z

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.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:31.802Z. Daily imports are snapshots, not real-time monitoring.

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