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distilbert-user-intent
tradero/distilbert-user-intent
distilbert-user-intent is a text classification model from tradero. 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: 49241119078 - CO2 Emissions (in grams): 0.4690
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta
- Access
- Public
- Created
- Apr 13, 2023
- Updated
- Apr 13, 2023
- SHA
- 753e3549
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 49241119078
- CO2 Emissions (in grams): 0.4690
Validation Metrics
- Loss: 1.676
- Accuracy: 0.800
- Macro F1: 0.733
- Micro F1: 0.800
- Weighted F1: 0.733
- Macro Precision: 0.700
- Micro Precision: 0.800
- Weighted Precision: 0.700
- Macro Recall: 0.800
- Micro Recall: 0.800
- Weighted Recall: 0.800
Usage
Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("tradero/distilbert-user-intent", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("tradero/distilbert-user-intent", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- deberta
- Languages
- en
- Created
- Apr 13, 2023
- Updated
- Apr 13, 2023