Downloads · 30 days
6
1% of all-time downloads
autotrain-GlueFineTunedModel-1013533786
deepesh0x/autotrain-GlueFineTunedModel-1013533786
autotrain-GlueFineTunedModel-1013533786 is a text classification model from deepesh0x. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 1013533786 - CO2 Emissions (in grams): 57.79463560530838
All-time downloads
459
Public
Repo size
876 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 21, 2022
- Updated
- Jun 21, 2022
- SHA
- 0a640f18
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1013533786
- CO2 Emissions (in grams): 57.79463560530838
Validation Metrics
- Loss: 0.18257243931293488
- Accuracy: 0.9261538461538461
- Precision: 0.9244319632371713
- Recall: 0.9282235324275827
- AUC: 0.9800523984255356
- F1: 0.92632386799693
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/deepesh0x/autotrain-GlueFineTunedModel-1013533786
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("deepesh0x/autotrain-GlueFineTunedModel-1013533786", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("deepesh0x/autotrain-GlueFineTunedModel-1013533786", 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 21, 2022
- Updated
- Jun 21, 2022