Downloads · 30 days
9
2% of all-time downloads
autotrain-dataset-mentions-3390592983
davanstrien/autotrain-dataset-mentions-3390592983
autotrain-dataset-mentions-3390592983 is a text classification model from davanstrien. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 3390592983 - CO2 Emissions (in grams): 0.0090
All-time downloads
365
Public
Repo size
527 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin263 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Feb 10, 2023
- Updated
- Sep 11, 2023
- SHA
- 895cab80
Try a prompt
Base models
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 3390592983
- CO2 Emissions (in grams): 0.0090
Validation Metrics
- Loss: 0.014
- Accuracy: 0.997
- Precision: 0.998
- Recall: 0.997
- AUC: 1.000
- F1: 0.998
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/davanstrien/autotrain-dataset-mentions-3390592983
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("davanstrien/autotrain-dataset-mentions-3390592983", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("davanstrien/autotrain-dataset-mentions-3390592983", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Feb 10, 2023
- Updated
- Sep 11, 2023