Instructions to use Fatihrizkia/autotrain-xauusdh4timestamp-100145147571 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fatihrizkia/autotrain-xauusdh4timestamp-100145147571 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fatihrizkia/autotrain-xauusdh4timestamp-100145147571", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Single Column Regression
- Model ID: 100145147571
- CO2 Emissions (in grams): 7.0558
Validation Metrics
- Loss: 0.380
- R2: 0.421
- MSE: 0.145
- MAE: 0.302
- RMSLE: 0.267
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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