--- tags: - autotrain - token-classification language: - en widget: - text: "I love AutoTrain 🤗" datasets: - hemangjoshi37a/autotrain-data-ratnakar_1000_sample_curated co2_eq_emissions: emissions: 2.1802563684907916 --- # Model Trained Using AutoTrain - Problem type: Entity Extraction - Model ID: 1474454086 - CO2 Emissions (in grams): 2.1803 ## Validation Metrics - Loss: 0.177 - Accuracy: 0.957 - Precision: 0.839 - Recall: 0.888 - F1: 0.863 ## 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/hemangjoshi37a/autotrain-ratnakar_1000_sample_curated-1474454086 ``` Or Python API: ``` from transformers import AutoModelForTokenClassification, AutoTokenizer model = AutoModelForTokenClassification.from_pretrained("hemangjoshi37a/autotrain-ratnakar_1000_sample_curated-1474454086", use_auth_token=True) tokenizer = AutoTokenizer.from_pretrained("hemangjoshi37a/autotrain-ratnakar_1000_sample_curated-1474454086", use_auth_token=True) inputs = tokenizer("I love AutoTrain", return_tensors="pt") outputs = model(**inputs) ``` ---------------------------------------------------------------------- ### Contact us Mobile : [+917016525813](tel:+917016525813) Whatsapp & Telegram : [+919409077371](tel:+919409077371) Email : [hemangjoshi37a@gmail.com](mailto:hemangjoshi37a@gmail.com) Place a custom order on hjLabs.in : [https://hjLabs.in](https://hjlabs.in/) Please contribute your suggestions and corections to support our efforts. 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