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autotrain-aa-39629103274
yzx123/autotrain-aa-39629103274
autotrain-aa-39629103274 is a text classification model from yzx123. 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: 39629103274 - CO2 Emissions (in grams): 0.0199
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Repo size
2.6 GB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Mar 8, 2023
- Updated
- Mar 8, 2023
- SHA
- 26b4bfde
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 39629103274
- CO2 Emissions (in grams): 0.0199
Validation Metrics
- Loss: 1.545
- Accuracy: 0.346
- Macro F1: 0.103
- Micro F1: 0.346
- Weighted F1: 0.178
- Macro Precision: 0.069
- Micro Precision: 0.346
- Weighted Precision: 0.119
- Macro Recall: 0.200
- Micro Recall: 0.346
- Weighted Recall: 0.346
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/yzx123/autotrain-aa-39629103274
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("yzx123/autotrain-aa-39629103274", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("yzx123/autotrain-aa-39629103274", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Languages
- zh
- Created
- Mar 8, 2023
- Updated
- Mar 8, 2023