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autotrain-dontknowwhatImdoing-980432459
Jerimee/autotrain-dontknowwhatImdoing-980432459
autotrain-dontknowwhatImdoing-980432459 is a text classification model from Jerimee. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 980432459 - CO2 Emissions (in grams): 0.012147398577917884
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696
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Repo size
2.7 GB
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1
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Repo makeup
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.bin1.3 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 13, 2022
- Updated
- Jun 14, 2022
- SHA
- 8ce64189
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Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 980432459
- CO2 Emissions (in grams): 0.012147398577917884
Validation Metrics
- Loss: 0.0469294898211956
- Accuracy: 0.9917355371900827
- Precision: 0.9936708860759493
- Recall: 0.9936708860759493
- AUC: 0.9990958408679927
- F1: 0.9936708860759493
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/Jerimee/autotrain-dontknowwhatImdoing-980432459
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("Jerimee/autotrain-dontknowwhatImdoing-980432459", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("Jerimee/autotrain-dontknowwhatImdoing-980432459", 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
- Jun 13, 2022
- Updated
- Jun 14, 2022