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autotrain-Psychiatry_Article_Identifier-990132822
justpyschitry/autotrain-Psychiatry_Article_Identifier-990132822
autotrain-Psychiatry_Article_Identifier-990132822 is a text classification model from justpyschitry. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 990132822 - CO2 Emissions (in grams): 13.4308931494349
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 15, 2022
- Updated
- Jun 15, 2022
- SHA
- 9345e5d1
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 990132822
- CO2 Emissions (in grams): 13.4308931494349
Validation Metrics
- Loss: 0.3777158558368683
- Accuracy: 0.9177471636952999
- Macro F1: 0.9082952086962773
- Micro F1: 0.9177471636952999
- Weighted F1: 0.9175376430905807
- Macro Precision: 0.9175123149319843
- Micro Precision: 0.9177471636952999
- Weighted Precision: 0.9185452324503698
- Macro Recall: 0.9042000199743617
- Micro Recall: 0.9177471636952999
- Weighted Recall: 0.9177471636952999
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-990132822
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("justpyschitry/autotrain-Psychiatry_Article_Identifier-990132822", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("justpyschitry/autotrain-Psychiatry_Article_Identifier-990132822", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- unk
- Created
- Jun 15, 2022
- Updated
- Jun 15, 2022