| --- |
| tags: |
| - autotrain |
| - text-classification |
| language: |
| - en |
| widget: |
| - text: "I love AutoTrain 🤗" |
| datasets: |
| - Awesome7749/autotrain-data-patent-101 |
| co2_eq_emissions: |
| emissions: 1.761467513119125 |
| --- |
| |
| # Model Trained Using AutoTrain |
|
|
| - Problem type: Binary Classification |
| - Model ID: 2952885911 |
| - CO2 Emissions (in grams): 1.7615 |
|
|
| ## Validation Metrics |
|
|
| - Loss: 0.359 |
| - Accuracy: 0.854 |
| - Precision: 0.744 |
| - Recall: 0.296 |
| - AUC: 0.832 |
| - F1: 0.424 |
|
|
| ## 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/Awesome7749/autotrain-patent-101-2952885911 |
| ``` |
|
|
| Or Python API: |
|
|
| ``` |
| from transformers import AutoModelForSequenceClassification, AutoTokenizer |
| |
| model = AutoModelForSequenceClassification.from_pretrained("Awesome7749/autotrain-patent-101-2952885911", use_auth_token=True) |
| |
| tokenizer = AutoTokenizer.from_pretrained("Awesome7749/autotrain-patent-101-2952885911", use_auth_token=True) |
| |
| inputs = tokenizer("I love AutoTrain", return_tensors="pt") |
| |
| outputs = model(**inputs) |
| ``` |
