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autotrain-poem-sentiment-analysis-1770161504
jwan2021/autotrain-poem-sentiment-analysis-1770161504
autotrain-poem-sentiment-analysis-1770161504 is a text classification model from jwan2021. 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: 1770161504 - CO2 Emissions (in grams): 1.4638
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Repo size
2.7 GB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Oct 15, 2022
- Updated
- Oct 15, 2022
- SHA
- 8b9177d9
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1770161504
- CO2 Emissions (in grams): 1.4638
Validation Metrics
- Loss: 0.804
- Accuracy: 0.732
- Macro F1: 0.507
- Micro F1: 0.732
- Weighted F1: 0.715
- Macro Precision: 0.497
- Micro Precision: 0.732
- Weighted Precision: 0.702
- Macro Recall: 0.523
- Micro Recall: 0.732
- Weighted Recall: 0.732
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/jwan2021/autotrain-poem-sentiment-analysis-1770161504
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("jwan2021/autotrain-poem-sentiment-analysis-1770161504", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("jwan2021/autotrain-poem-sentiment-analysis-1770161504", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Languages
- en
- Created
- Oct 15, 2022
- Updated
- Oct 15, 2022