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model-card-dataset-mentions
librarian-bots/model-card-dataset-mentions
model-card-dataset-mentions is a text classification model from librarian-bots. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
- Problem type: Binary Classification - Model ID: 3522695252 - CO2 Emissions (in grams): 0.1275
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Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 3522695252
- CO2 Emissions (in grams): 0.1275
Validation Metrics
- Loss: 0.000
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
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/davanstrien/autotrain-dataset-mentions-160223-3522695252
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("davanstrien/autotrain-dataset-mentions-160223-3522695252", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("davanstrien/autotrain-dataset-mentions-160223-3522695252", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Feb 16, 2023
- Updated
- Jul 12, 2023