| --- |
| tags: autonlp |
| language: en |
| widget: |
| - text: "I love AutoNLP 🤗" |
| datasets: |
| - bozelosp/autonlp-data-sci-relevance |
| co2_eq_emissions: 3.667033499762825 |
| --- |
| |
| # Model Trained Using AutoNLP |
|
|
| - Problem type: Binary Classification |
| - Model ID: 33199029 |
| - CO2 Emissions (in grams): 3.667033499762825 |
|
|
| ## Validation Metrics |
|
|
| - Loss: 0.32653310894966125 |
| - Accuracy: 0.9133333333333333 |
| - Precision: 0.9005847953216374 |
| - Recall: 0.9447852760736196 |
| - AUC: 0.9532488468944517 |
| - F1: 0.9221556886227544 |
|
|
| ## 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 AutoNLP"}' https://api-inference.huggingface.co/models/bozelosp/autonlp-sci-relevance-33199029 |
| ``` |
|
|
| Or Python API: |
|
|
| ``` |
| from transformers import AutoModelForSequenceClassification, AutoTokenizer |
| |
| model = AutoModelForSequenceClassification.from_pretrained("bozelosp/autonlp-sci-relevance-33199029", use_auth_token=True) |
| |
| tokenizer = AutoTokenizer.from_pretrained("bozelosp/autonlp-sci-relevance-33199029", use_auth_token=True) |
| |
| inputs = tokenizer("I love AutoNLP", return_tensors="pt") |
| |
| outputs = model(**inputs) |
| ``` |
