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autotrain-imdb-1166543179
ameerazam08/autotrain-imdb-1166543179
autotrain-imdb-1166543179 is a text classification model from ameerazam08. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 1166543179 - CO2 Emissions (in grams): 0.4999789160111311
All-time downloads
426
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Repo size
2.8 GB
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1
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Repo makeup
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.bin1.4 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jul 22, 2022
- Updated
- Jul 22, 2022
- SHA
- a0eec97e
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1166543179
- CO2 Emissions (in grams): 0.4999789160111311
Validation Metrics
- Loss: 0.19526566565036774
- Accuracy: 0.9418
- Precision: 0.9441093687173301
- Recall: 0.9392
- AUC: 0.9824502399999999
- F1: 0.9416482855424103
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/ameerazam08/autotrain-imdb-1166543179
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("ameerazam08/autotrain-imdb-1166543179", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("ameerazam08/autotrain-imdb-1166543179", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Languages
- en
- Created
- Jul 22, 2022
- Updated
- Jul 22, 2022