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autotrain-country-to-country-code-2-2266072007
AiBototicus/autotrain-country-to-country-code-2-2266072007
autotrain-country-to-country-code-2-2266072007 is a text classification model from AiBototicus. 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: 2266072007 - CO2 Emissions (in grams): 0.0234
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Repo size
2.7 GB
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1
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Repo makeup
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At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Nov 28, 2022
- Updated
- Nov 28, 2022
- SHA
- ebcdcb71
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2266072007
- CO2 Emissions (in grams): 0.0234
Validation Metrics
- Loss: 0.556
- Accuracy: 0.940
- Macro F1: 0.741
- Micro F1: 0.940
- Weighted F1: 0.923
- Macro Precision: 0.732
- Micro Precision: 0.940
- Weighted Precision: 0.911
- Macro Recall: 0.759
- Micro Recall: 0.940
- Weighted Recall: 0.940
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/AiBototicus/autotrain-country-to-country-code-2-2266072007
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("AiBototicus/autotrain-country-to-country-code-2-2266072007", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("AiBototicus/autotrain-country-to-country-code-2-2266072007", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Languages
- en
- Created
- Nov 28, 2022
- Updated
- Nov 28, 2022