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autotrain-rm-soccer_class-56881131860
VictorGil75/autotrain-rm-soccer_class-56881131860
autotrain-rm-soccer_class-56881131860 is a text classification model from VictorGil75. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 56881131860 - CO2 Emissions (in grams): 0.4133
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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 9, 2023
- Updated
- May 9, 2023
- SHA
- f3651273
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 56881131860
- CO2 Emissions (in grams): 0.4133
Validation Metrics
- Loss: 0.064
- Accuracy: 0.985
- Precision: 0.990
- Recall: 0.980
- AUC: 0.995
- F1: 0.985
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/VictorGil75/autotrain-rm-soccer_class-56881131860
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("VictorGil75/autotrain-rm-soccer_class-56881131860", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("VictorGil75/autotrain-rm-soccer_class-56881131860", 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 9, 2023
- Updated
- May 9, 2023