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autotrain-poem-sentiment-analysis-1770161500
jwan2021/autotrain-poem-sentiment-analysis-1770161500
autotrain-poem-sentiment-analysis-1770161500 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: 1770161500 - CO2 Emissions (in grams): 1.2662
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At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Oct 15, 2022
- Updated
- Oct 15, 2022
- SHA
- 63dad3b4
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1770161500
- CO2 Emissions (in grams): 1.2662
Validation Metrics
- Loss: 0.572
- Accuracy: 0.810
- Macro F1: 0.590
- Micro F1: 0.810
- Weighted F1: 0.787
- Macro Precision: 0.570
- Micro Precision: 0.810
- Weighted Precision: 0.766
- Macro Recall: 0.611
- Micro Recall: 0.810
- Weighted Recall: 0.810
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-1770161500
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("jwan2021/autotrain-poem-sentiment-analysis-1770161500", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("jwan2021/autotrain-poem-sentiment-analysis-1770161500", 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