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autotrain-pruebaa-1470254048
lehomme/autotrain-pruebaa-1470254048
autotrain-pruebaa-1470254048 is a text classification model from lehomme. 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: 1470254048 - CO2 Emissions (in grams): 0.0177
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Repo size
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At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Sep 15, 2022
- Updated
- Sep 15, 2022
- SHA
- 410aca4d
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1470254048
- CO2 Emissions (in grams): 0.0177
Validation Metrics
- Loss: 0.637
- Accuracy: 0.738
- Macro F1: 0.739
- Micro F1: 0.738
- Weighted F1: 0.739
- Macro Precision: 0.744
- Micro Precision: 0.738
- Weighted Precision: 0.744
- Macro Recall: 0.738
- Micro Recall: 0.738
- Weighted Recall: 0.738
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/lehomme/autotrain-pruebaa-1470254048
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("lehomme/autotrain-pruebaa-1470254048", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("lehomme/autotrain-pruebaa-1470254048", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Languages
- pt
- Created
- Sep 15, 2022
- Updated
- Sep 15, 2022