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autotrain-sentiment-4-812425472
charly/autotrain-sentiment-4-812425472
autotrain-sentiment-4-812425472 is a text classification model from charly. 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: 812425472 - CO2 Emissions (in grams): 0.007597570744740809
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Repo size
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 2, 2022
- Updated
- May 2, 2022
- SHA
- 87a7f468
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 812425472
- CO2 Emissions (in grams): 0.007597570744740809
Validation Metrics
- Loss: 0.5105093121528625
- Accuracy: 0.8268156424581006
- Macro F1: 0.6020923520923521
- Micro F1: 0.8268156424581006
- Weighted F1: 0.8021395116367184
- Macro Precision: 0.5907986111111111
- Micro Precision: 0.8268156424581006
- Weighted Precision: 0.7792248603351954
- Macro Recall: 0.6141625496464206
- Micro Recall: 0.8268156424581006
- Weighted Recall: 0.8268156424581006
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/charly/autotrain-sentiment-4-812425472
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("charly/autotrain-sentiment-4-812425472", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("charly/autotrain-sentiment-4-812425472", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- May 2, 2022
- Updated
- May 2, 2022