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autotrain-goodreads_without_bookid-2171169883
fernanda-dionello/autotrain-goodreads_without_bookid-2171169883
autotrain-goodreads_without_bookid-2171169883 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: 2171169883 - CO2 Emissions (in grams): 7.7592
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At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Nov 20, 2022
- Updated
- Nov 20, 2022
- SHA
- a6752251
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2171169883
- CO2 Emissions (in grams): 7.7592
Validation Metrics
- Loss: 1.024
- Accuracy: 0.579
- Macro F1: 0.360
- Micro F1: 0.579
- Weighted F1: 0.560
- Macro Precision: 0.383
- Micro Precision: 0.579
- Weighted Precision: 0.553
- Macro Recall: 0.353
- Micro Recall: 0.579
- Weighted Recall: 0.579
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-2171169883
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("fernanda-dionello/autotrain-goodreads_without_bookid-2171169883", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("fernanda-dionello/autotrain-goodreads_without_bookid-2171169883", 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