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autotrain-ok-848227025
ziedhajyahia/autotrain-ok-848227025
autotrain-ok-848227025 is a text classification model from ziedhajyahia. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 848227025 - CO2 Emissions (in grams): 5.096755166899446
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- camembert
- Access
- Public
- Created
- May 10, 2022
- Updated
- May 10, 2022
- SHA
- b485844c
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 848227025
- CO2 Emissions (in grams): 5.096755166899446
Validation Metrics
- Loss: 2.1917402744293213
- Accuracy: 0.44666666666666666
- Macro F1: 0.20291677804725128
- Micro F1: 0.44666666666666666
- Weighted F1: 0.37709801275435956
- Macro Precision: 0.19919016697588127
- Micro Precision: 0.44666666666666666
- Weighted Precision: 0.3478004329004329
- Macro Recall: 0.23167713239141807
- Micro Recall: 0.44666666666666666
- Weighted Recall: 0.44666666666666666
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/ziedhajyahia/autotrain-ok-848227025
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("ziedhajyahia/autotrain-ok-848227025", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("ziedhajyahia/autotrain-ok-848227025", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- Languages
- fr
- Created
- May 10, 2022
- Updated
- May 10, 2022