Model: MattStammers/Covid19_Text_Model
Author: MattStammers
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, onnx, bert, text-classification, text-generation, en, license:mit, endpoints_compatible, region:us
Card metadata: language: en
license: mit
model_id: Covid19_Text_Model
tags: text-generation
developers: Matt Stammers
model_type: BERT
model_summary: This model looks to compare texts for relevance to Covid-19
shared_by: Matt Stammers
finetuned_from: https://thigm85.github.io/data/cord19/cord19-query-title-label.csv
repo: https://huggingface.co/MattStammers/Covid19_Text_Model?text=Comprehensive+overview+of+COVID-19.+Comprehensive+overview+of+Flu
paper: N/A
widget: text: Comprehensive overview of COVID-19. Comprehensive overview of Flu
example_title: Covid 19 Article Status. Label_0 = Covid-19 probability
output: label: Covid-19-article
score: 0.6, label: Non-Covid-19-article
score: 0.4
demo: https://huggingface.co/MattStammers/Covid19_Text_Model?text=Comprehensive+overview+of+COVID-19.+Comprehensive+overview+of+Flu
direct_use: Test it out here"
downstream_use: This is a standalone app
out_of_scope_use: The model will not work with any very complex sentences or to compare more than 3 statements
bias_risks_limitations: Biases inherent in the google BERT base also apply here. Should not be used for clinical tasks. This is a toy demonstration app only.
bias_recommendations: Do not be surprised if unusual results are obtained
get_started_code: 
    ``` python 
    # Use a pipeline as a high-level helper
        from transformers import pipeline

        pipe = pipeline("text-classification", model="MattStammers/Covid19_Text_Model")
    # Load model directly
        from transformers import AutoTokenizer, AutoModelForSequenceClassification

        tokenizer = AutoTokenizer.from_pretrained("MattStammers/MattStammers/Covid19_Text_Model")
        model = AutoModelForSequenceClassification.from_pretrained("MattStammers/Covid19_Text_Model")
    ```
                        
training_data: https://thigm85.github.io/data/cord19/cord19-query-title-label.csv
preprocessing: Sentence Pairs to analyse similarity
training_regime: User Defined
speeds_sizes_times: Not Relevant
metrics: Not Given
pipeline_tag: text-classification
Likes: 0 | All-time downloads: 314
Created: 2023-10-08 15:25:37