| tags: | |
| - text-regression | |
| pipeline_tag: regression | |
| language: | |
| - en | |
| widget: | |
| - text: "I love AutoTrain 🤗" | |
| datasets: | |
| - orange6996/autotrain-data-testtextexists | |
| co2_eq_emissions: | |
| emissions: 0.8382331508369333 | |
| # Model Trained Using AutoTrain | |
| - Problem type: Single Column Regression | |
| - Model ID: 1966366051 | |
| - CO2 Emissions (in grams): 0.8382 | |
| ## Validation Metrics | |
| - Loss: 4927.679 | |
| - MSE: 4927.679 | |
| - MAE: 68.224 | |
| - R2: -17.019 | |
| - RMSE: 70.197 | |
| - Explained Variance: 0.001 | |
| ## Usage | |
| You can use cURL to access this model: | |
| ``` | |
| $ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/orange6996/autotrain-testtextexists-1966366051 | |
| ``` | |
| Or Python API: | |
| ``` | |
| from transformers import AutoModelForSequenceClassification, AutoTokenizer | |
| model = AutoModelForSequenceClassification.from_pretrained("orange6996/autotrain-testtextexists-1966366051", use_auth_token=True) | |
| tokenizer = AutoTokenizer.from_pretrained("orange6996/autotrain-testtextexists-1966366051", use_auth_token=True) | |
| inputs = tokenizer("I love AutoTrain", return_tensors="pt") | |
| outputs = model(**inputs) | |
| ``` |