Downloads · 30 days
6
1% of all-time downloads
autotrain-influencer-brand-classification-44707112576
bdevore17/autotrain-influencer-brand-classification-44707112576
autotrain-influencer-brand-classification-44707112576 is a text classification model from bdevore17. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 44707112576 - CO2 Emissions (in grams): 0.5009
All-time downloads
744
Public
Repo size
1.5 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin738 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Mar 29, 2023
- Updated
- Mar 29, 2023
- SHA
- 85c77d94
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 44707112576
- CO2 Emissions (in grams): 0.5009
Validation Metrics
- Loss: 0.352
- Accuracy: 0.869
- Precision: 0.809
- Recall: 0.939
- AUC: 0.932
- F1: 0.869
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/bdevore17/autotrain-influencer-brand-classification-44707112576
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("bdevore17/autotrain-influencer-brand-classification-44707112576", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("bdevore17/autotrain-influencer-brand-classification-44707112576", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- Languages
- en
- Created
- Mar 29, 2023
- Updated
- Mar 29, 2023