funnel-transformer/small

feature-extraction model by funnel-transformer

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Pretrained model on English language using a similar objective objective as ELECTRA. It was introduced in this paper and first released in this repository. This model is uncased: it does not make a difference between english and English. Disclaimer: The team releasing Funnel Transformer did not write a model card for this model so this model card has been written by the Hugging Face team. Funnel Transformer is a transformers model pretrained on a large corpus of English data in a self-supervised fashion. 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. More precisely, a small language model corrupts the input texts and serves as a generator of inputs for this model, and the pretraining objective is to…

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Inside the original model card — Document outline
  1. Funnel Transformer small model (B4-4-4 with decoder)
  2. Model description
  3. Intended uses & limitations
  4. How to use
  5. Training data
  6. BibTeX entry and citation info

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Model overview

funnel-transformer/small is a feature-extraction model repository published by funnel-transformer 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
feature-extraction
Library
transformers
Recent downloads (30 days)
105,249
Cumulative likes
6
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
FunnelModel
License
apache-2.0
Access
Not gated by Hugging Face
Created
2022-03-02T23:29:05.000Z
Last modified
2024-02-29T09:00:06.000Z

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

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-23T06:38:24.944Z. Daily imports are snapshots, not real-time monitoring.

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