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autotrain-sentiment-analysis-2435575634
fyhao/autotrain-sentiment-analysis-2435575634
autotrain-sentiment-analysis-2435575634 is a tabular classification model from fyhao. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 2435575634 - CO2 Emissions (in grams): 0.0803
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.joblib63.8 KB · 96%
At a glance
- Task
- Tabular Classification
- Library
- transformers
- Access
- Public
- Created
- Dec 12, 2022
- Updated
- Dec 12, 2022
- SHA
- 5dd0ea6d
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2435575634
- CO2 Emissions (in grams): 0.0803
Validation Metrics
- Loss: 0.186
- Accuracy: 0.873
- Macro F1: 0.870
- Micro F1: 0.873
- Weighted F1: 0.868
- Macro Precision: 0.938
- Micro Precision: 0.873
- Weighted Precision: 0.896
- Macro Recall: 0.833
- Micro Recall: 0.873
- Weighted Recall: 0.873
Usage
import json
import joblib
import pandas as pd
model = joblib.load('model.joblib')
config = json.load(open('config.json'))
features = config['features']
# data = pd.read_csv("data.csv")
data = data[features]
data.columns = ["feat_" + str(col) for col in data.columns]
predictions = model.predict(data) # or model.predict_proba(data)
- Task
- Tabular Classification
- Library
- transformers
- Created
- Dec 12, 2022
- Updated
- Dec 12, 2022