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autotrain-iine_classification10-737422470
vabadeh213/autotrain-iine_classification10-737422470
autotrain-iine_classification10-737422470 is a text classification model from vabadeh213. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 737422470 - CO2 Emissions (in grams): 7.351885824089346
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 13, 2022
- Updated
- Apr 13, 2022
- SHA
- 285f9e2f
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 737422470
- CO2 Emissions (in grams): 7.351885824089346
Validation Metrics
- Loss: 0.39456263184547424
- Accuracy: 0.8279088689991864
- Precision: 0.6869806094182825
- Recall: 0.17663817663817663
- AUC: 0.7937892215111646
- F1: 0.2810198300283286
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/vabadeh213/autotrain-iine_classification10-737422470
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("vabadeh213/autotrain-iine_classification10-737422470", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("vabadeh213/autotrain-iine_classification10-737422470", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- ja
- Created
- Apr 13, 2022
- Updated
- Apr 13, 2022