Downloads · 30 days
13
7% of all-time downloads
autotrain-Trial-1053836318
borgr/autotrain-Trial-1053836318
autotrain-Trial-1053836318 is a text classification model from borgr. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 1053836318 - CO2 Emissions (in grams): 16.050883703347175
All-time downloads
195
Public
Parameters
108M
867 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin433 MB · 50%
Parameter types
How the weights are stored.
F32108M · 100%
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1053836318
- CO2 Emissions (in grams): 16.050883703347175
Validation Metrics
- Loss: 0.15769560635089874
- Accuracy: 0.9472160356347439
- Precision: 0.9516664453591821
- Recall: 0.9538195368645196
- AUC: 0.9851485979250193
- F1: 0.9527417746759722
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/borgr/autotrain-Trial-1053836318
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("borgr/autotrain-Trial-1053836318", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("borgr/autotrain-Trial-1053836318", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- unk
- Created
- Jun 29, 2022
- Updated
- Jun 20, 2025