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autotrain-goodreads_without_bookid-2171169880
fernanda-dionello/autotrain-goodreads_without_bookid-2171169880
autotrain-goodreads_without_bookid-2171169880 is a text classification model from fernanda-dionello. 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: 2171169880 - CO2 Emissions (in grams): 11.5980
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At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Nov 20, 2022
- Updated
- Nov 20, 2022
- SHA
- 356dcefc
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2171169880
- CO2 Emissions (in grams): 11.5980
Validation Metrics
- Loss: 0.792
- Accuracy: 0.654
- Macro F1: 0.547
- Micro F1: 0.654
- Weighted F1: 0.649
- Macro Precision: 0.594
- Micro Precision: 0.654
- Weighted Precision: 0.660
- Macro Recall: 0.530
- Micro Recall: 0.654
- Weighted Recall: 0.654
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/fernanda-dionello/autotrain-goodreads_without_bookid-2171169880
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("fernanda-dionello/autotrain-goodreads_without_bookid-2171169880", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("fernanda-dionello/autotrain-goodreads_without_bookid-2171169880", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Languages
- en
- Created
- Nov 20, 2022
- Updated
- Nov 20, 2022