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autotrain-imdb-sentiment-45954114684
billster45/autotrain-imdb-sentiment-45954114684
autotrain-imdb-sentiment-45954114684 is a text classification model from billster45. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 45954114684 - CO2 Emissions (in grams): 1.6952
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta
- Access
- Public
- Created
- Apr 2, 2023
- Updated
- Apr 2, 2023
- SHA
- 092e4cf8
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 45954114684
- CO2 Emissions (in grams): 1.6952
Validation Metrics
- Loss: 0.156
- Accuracy: 0.953
- Precision: 0.951
- Recall: 0.957
- AUC: 0.989
- F1: 0.954
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/billster45/autotrain-imdb-sentiment-45954114684
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("billster45/autotrain-imdb-sentiment-45954114684", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("billster45/autotrain-imdb-sentiment-45954114684", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- deberta
- Languages
- en
- Created
- Apr 2, 2023
- Updated
- Apr 2, 2023