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autotrain-ethos-sentiments-1790262083
pachi107/autotrain-ethos-sentiments-1790262083
autotrain-ethos-sentiments-1790262083 is a text classification model from pachi107. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 1790262083 - CO2 Emissions (in grams): 2.3315
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Repo size
2.7 GB
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.bin1.3 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Oct 17, 2022
- Updated
- Oct 17, 2022
- SHA
- 2771bb16
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1790262083
- CO2 Emissions (in grams): 2.3315
Validation Metrics
- Loss: 0.578
- Accuracy: 0.720
- Precision: 0.705
- Recall: 0.867
- AUC: 0.769
- F1: 0.778
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/pachi107/autotrain-ethos-sentiments-1790262083
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("pachi107/autotrain-ethos-sentiments-1790262083", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("pachi107/autotrain-ethos-sentiments-1790262083", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Languages
- en
- Created
- Oct 17, 2022
- Updated
- Oct 17, 2022