Instructions to use BrianDsouzaAI/autotrain-tab-multi-92337144714 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BrianDsouzaAI/autotrain-tab-multi-92337144714 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BrianDsouzaAI/autotrain-tab-multi-92337144714", dtype="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Error:"widget" must be an array
Model Trained Using AutoTrain
- Problem type: Multi-label Classification
- Model ID: 92337144714
- CO2 Emissions (in grams): 2.0674
Validation Metrics
- Loss: 3.634
Usage
import json
import joblib
import numpy as np
import pandas as pd
models = 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 = []
for model_ in models:
predictions_ = model_.predict(data) # or model.predict_proba(data)[:, 1]
predictions.append(predictions_)
predictions = np.column_stack(predictions)
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