Downloads · 30 days
5
2% of all-time downloads
andro-micro
sabhashanki/andro-micro
andro-micro is a text classification model from sabhashanki. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 2499077017 - CO2 Emissions (in grams): 2.8433
All-time downloads
317
Public
Repo size
1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Dec 16, 2022
- Updated
- Dec 16, 2022
- SHA
- b44f1a3e
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2499077017
- CO2 Emissions (in grams): 2.8433
Validation Metrics
- Loss: 0.366
- Accuracy: 0.901
- Macro F1: 0.897
- Micro F1: 0.901
- Weighted F1: 0.901
- Macro Precision: 0.914
- Micro Precision: 0.901
- Weighted Precision: 0.907
- Macro Recall: 0.888
- Micro Recall: 0.901
- Weighted Recall: 0.901
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/sabhashanki/autotrain-micro-dataset-text-classification-2499077017
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("sabhashanki/autotrain-micro-dataset-text-classification-2499077017", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("sabhashanki/autotrain-micro-dataset-text-classification-2499077017", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Languages
- unk
- Created
- Dec 16, 2022
- Updated
- Dec 16, 2022