Spaces:
Sleeping
Sleeping
added basic models
Browse files- .vscode/settings.json +3 -0
- app.py +23 -0
- requirements.txt +4 -0
.vscode/settings.json
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{
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"wcaForGP.enable": true
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}
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app.py
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import streamlit as st
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import streamlit as st
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import pandas as pd
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from st_aggrid import AgGrid, GridOptionsBuilder
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import numpy as np
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st.title('List of LLM Models 🔥')
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st.warning("WIP: There are many more models to be added.")
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data = {
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"Task": [ 'Text Classification', 'Text Generation', 'Summarization', 'Image Classification',
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'Image Segmentation', 'Object Detection', 'Audio Classification', 'Automatic Speech Recognition' ,'Visual question answering',
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'Document question answering', 'Image captioning' ],
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"Description": [ 'assign a label to a given sequence of text', 'generate text given a prompt', 'generate a summary of a sequence of text or document', 'assign a label to an image',
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'assign a label to each individual pixel of an image (supports semantic, panoptic, and instance segmentation)', 'predict the bounding boxes and classes of objects in an image',
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'assign a label to some audio data' ,'transcribe speech into text', 'answer a question about the image, given an image and a question',
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'answer a question about the document, given a document and a question', 'generate a caption for a given image' ],
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"Modality": [ 'NLP','NLP','NLP','Computer Vision','Computer Vision','Computer Vision', 'Audio','Audio', 'Multimodal', 'Multimodal', 'Multimodal']
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}
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df1 = pd.DataFrame(data)
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my_table = st.table(df1)
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requirements.txt
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transformers
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numpy
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pandas
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streamlit-aggrid
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