Instructions to use desertdev/autotrain-imdb-sentiment-analysis-44994113085 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use desertdev/autotrain-imdb-sentiment-analysis-44994113085 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("desertdev/autotrain-imdb-sentiment-analysis-44994113085", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 44994113085
- CO2 Emissions (in grams): 0.5769
Validation Metrics
- Loss: 0.685
- Accuracy: 0.565
- Precision: 0.565
- Recall: 1.000
- AUC: 0.500
- F1: 0.722
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)
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