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s2g_class_cours
PavelDanek/s2g_class_cours
s2g_class_cours is a text classification model from PavelDanek. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 42689109103 - CO2 Emissions (in grams): 0.4839
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 22, 2023
- Updated
- Mar 22, 2023
- SHA
- bb8c91d8
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 42689109103
- CO2 Emissions (in grams): 0.4839
Validation Metrics
- Loss: 0.392
- Accuracy: 0.845
- Precision: 0.800
- Recall: 0.787
- AUC: 0.898
- F1: 0.793
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/PavelDanek/autotrain-s2g_text_class-42689109103
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("PavelDanek/autotrain-s2g_text_class-42689109103", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("PavelDanek/autotrain-s2g_text_class-42689109103", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- unk
- Created
- Mar 22, 2023
- Updated
- Mar 22, 2023