| --- | |
| co2_eq_emissions: 0.021794705501614994 | |
| datasets: | |
| - justpyschitry/autotrain-data-Psychiatry_Article_Identifier | |
| language: unk | |
| tags: "autotrain, psychiatry, ICD-11" | |
| widget: | |
| - | |
| text: "I love AutoTrain 🤗" | |
| # Model Trained Using AutoTrain | |
| - Problem type: Multi-class Classification | |
| - Model ID: 990132820 | |
| - CO2 Emissions (in grams): 0.021794705501614994 | |
| ## Validation Metrics | |
| - Loss: 0.3959168493747711 | |
| - Accuracy: 0.9141004862236629 | |
| - Macro F1: 0.8984327823035179 | |
| - Micro F1: 0.9141004862236629 | |
| - Weighted F1: 0.913962331636746 | |
| - Macro Precision: 0.9087151885944185 | |
| - Micro Precision: 0.9141004862236629 | |
| - Weighted Precision: 0.9154123644574501 | |
| - Macro Recall: 0.8957596627132517 | |
| - Micro Recall: 0.9141004862236629 | |
| - Weighted Recall: 0.9141004862236629 | |
| ## 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/justpyschitry/autotrain-Psychiatry_Article_Identifier-990132820 | |
| ``` | |
| Or Python API: | |
| ``` | |
| from transformers import AutoModelForSequenceClassification, AutoTokenizer | |
| model = AutoModelForSequenceClassification.from_pretrained("justpyschitry/autotrain-Psychiatry_Article_Identifier-990132820", use_auth_token=True) | |
| tokenizer = AutoTokenizer.from_pretrained("justpyschitry/autotrain-Psychiatry_Article_Identifier-990132820", use_auth_token=True) | |
| inputs = tokenizer("I love AutoTrain", return_tensors="pt") | |
| outputs = model(**inputs) | |
| ``` | |
| ## Copyrights | |
| (C) Justpsychiatry. CCBY 4.0 International. | |
| https://creativecommons.org/licenses/by/4.0/ |