Metadata-Version: 2.1
Name: framefinder
Version: 0.0.2
Home-page: https://github.com/Iseratho/framefinder
Author: Markus Reiter-Haas
Author-email: iseratho@gmail.com
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: dev

# Frame-Finder

<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

## Install

``` sh
pip install framefinder
```

## How to use

``` python
import matplotlib.pyplot as plt
import pandas as pd
plt.rcParams['figure.dpi'] = 60
```

``` python
from framefinder import examples
```

``` python
from framefinder import framelabels

fl = framelabels.FramingLabels("facebook/bart-large-mnli", examples.candidate_labels)
res = pd.DataFrame(fl(examples.example_list))
fl.visualize(res.mean().to_dict(), xerr=res.sem())
plt.show()
```

![](index_files/figure-commonmark/cell-4-output-1.png)

``` python
from framefinder import framedimensions

fd = framedimensions.FramingDimensions("all-mpnet-base-v2", examples.dimensions, examples.pole_names)
fd.visualize(pd.DataFrame(fd(examples.example_list)))
plt.show()
```

![](index_files/figure-commonmark/cell-5-output-1.png)

``` python
from framefinder import framestructure

fs = framestructure.FramingStructure("Iseratho/model_parse_xfm_bart_base-v0_1_0")
fs.visualize(fs(examples.example_list))
plt.show()
```

![](index_files/figure-commonmark/cell-6-output-1.png)
