Felflare
Rank:Average Model Cost: $0.0000
Number of Runs: 19,854
Models by this creator
bert-restore-punctuation
bert-restore-punctuation
The bert-restore-punctuation model is a token classification model that has been trained to add punctuation marks to sentences. It takes a sentence as input and predicts the punctuation marks that should be placed at the appropriate positions in the sentence. This can be useful for tasks such as restoring punctuation to transcribed speech or correcting punctuation errors in text. The model is based on the BERT architecture and has been fine-tuned on a specific punctuation restoration task.
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19.9K
Huggingface
TextFuseNet_weights
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0
Huggingface
lilt-only-base
lilt-only-base
Port of the original lilt-only-base model weights from the Language-Independent Layout Transformer (LiLT) The weights found here are not useful as a standalone and should be instead used in combination with Roberta-like models as outlined HERE This repository aims to make it easier for others to combine LiLT with a Roberta-like model of their liking. Please refer to the following script on how to fuse XLM-Roberta with LiLT for multi-modal training/fine-tuning HERE
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0
Huggingface
EasyOCR-weights
EasyOCR-weights
Port of EasyOCR weights from Jaided AI model Hub These Weights are from Gen 2 of EasyOCR weights Original weights can be found here - Jaided AI Model Hub Licensed under Jaided AI license terms, this is only a port of the weights onto Hugginface model repository for ease of access.
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Huggingface