Downloads · 30 days
14
3% of all-time downloads
autotrain-app_review_bert_train-1310050094
noob123/autotrain-app_review_bert_train-1310050094
autotrain-app_review_bert_train-1310050094 is a text classification model from noob123. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 1310050094 - CO2 Emissions (in grams): 4.0941
All-time downloads
545
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
- Aug 24, 2022
- Updated
- Aug 24, 2022
- SHA
- 844c635e
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1310050094
- CO2 Emissions (in grams): 4.0941
Validation Metrics
- Loss: 0.449
- Accuracy: 0.800
- Precision: 0.855
- Recall: 0.844
- AUC: 0.851
- F1: 0.849
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/noob123/autotrain-app_review_bert_train-1310050094
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("noob123/autotrain-app_review_bert_train-1310050094", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("noob123/autotrain-app_review_bert_train-1310050094", 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
- Aug 24, 2022
- Updated
- Aug 24, 2022