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autotrain-glue1-1046836019
deepesh0x/autotrain-glue1-1046836019
autotrain-glue1-1046836019 is a text classification model from deepesh0x. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 1046836019 - CO2 Emissions (in grams): 3.869994913020229
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Repo size
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 27, 2022
- Updated
- Jun 27, 2022
- SHA
- 135e2ddd
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Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1046836019
- CO2 Emissions (in grams): 3.869994913020229
Validation Metrics
- Loss: 0.626447856426239
- Accuracy: 0.6606574761399788
- Precision: 0.6925845932325414
- Recall: 0.8187234042553192
- AUC: 0.656404823892031
- F1: 0.750390015600624
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/deepesh0x/autotrain-glue1-1046836019
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("deepesh0x/autotrain-glue1-1046836019", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("deepesh0x/autotrain-glue1-1046836019", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- unk
- Created
- Jun 27, 2022
- Updated
- Jun 27, 2022