Downloads · 30 days
9
2% of all-time downloads
autotrain-finetunedmodelbert-1034335535
deepesh0x/autotrain-finetunedmodelbert-1034335535
autotrain-finetunedmodelbert-1034335535 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: 1034335535 - CO2 Emissions (in grams): 7.1805069109958835
All-time downloads
481
Public
Repo size
536 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Jun 24, 2022
- Updated
- Jun 24, 2022
- SHA
- 4b1235dd
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1034335535
- CO2 Emissions (in grams): 7.1805069109958835
Validation Metrics
- Loss: 0.05866553634405136
- Accuracy: 0.9793615441722346
- Precision: 0.9811170212765957
- Recall: 0.9819004524886877
- AUC: 0.9976735725727466
- F1: 0.9815085805507516
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-finetunedmodelbert-1034335535
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("deepesh0x/autotrain-finetunedmodelbert-1034335535", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("deepesh0x/autotrain-finetunedmodelbert-1034335535", 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
- Jun 24, 2022
- Updated
- Jun 24, 2022