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Open-weight model · Question answering

tinyroberta-squad2-finetuned-squad

by Niharika Ahuja ahujaniharika95/tinyroberta-squad2-finetuned-squad

Parameters
Context514
Weights326.2 MB
License
AccessOpen weights
Monthly Downloads1.4k

Model Card

The publisher has not written a card for this model.

Configuration

Architecture
RobertaForQuestionAnswering
Context length (tokens)
514
Layers
6
Hidden size
768
Feed-forward size
3,072
Attention heads
12
Vocabulary size
50,265
Stored precision
float32
Model type
roberta

Identity and Version

Repository
ahujaniharika95/tinyroberta-squad2-finetuned-squad
Publisher
Niharika Ahuja
Task
Question answering
Modality
Text
Library
transformers
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
f77b0bb37f9aa05439b0c8499e23183420743a81
First published
2022-06-17
Last updated
2022-07-06

Files and Weights

10 files, 329.5 MB in total. The weights are 2 files totalling 326.2 MB in bin.

Weights2 files · 326.2 MB
Configuration2 files · 1.1 KB
Tokenizer4 files · 3.4 MB
Repository2 files · 1.2 KB
Every file
FileTypeSizeSHA-256
pytorch_model.binWeights326.2 MB 4acdfa712c36
training_args.binWeights3.2 KB 35c9bf465697
config.jsonConfiguration836 B
special_tokens_map.jsonConfiguration239 B
.gitattributesRepository1.2 KB
.gitignoreRepository13 B
merges.txtTokenizer456.4 KB
tokenizer.jsonTokenizer2.1 MB
tokenizer_config.jsonTokenizer363 B
vocab.jsonTokenizer798.3 KB

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
326.2 MB
Download from Niharika Ahuja

Released by Niharika Ahuja through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published326.2 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About tinyroberta-squad2-finetuned-squad

What is tinyroberta-squad2-finetuned-squad's context length?

514 tokens, from the maximum position embeddings in its published configuration.

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