metadata
tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: I love AutoTrain 🤗
datasets:
- zgoovw/autotrain-data-bert-base-japanese-classify
co2_eq_emissions:
emissions: 0.32021205917112544
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 42185108358
- CO2 Emissions (in grams): 0.3202
Validation Metrics
- Loss: 1.077
- Accuracy: 0.652
- Macro F1: 0.443
- Micro F1: 0.652
- Weighted F1: 0.618
- Macro Precision: 0.441
- Micro Precision: 0.652
- Weighted Precision: 0.600
- Macro Recall: 0.455
- Micro Recall: 0.652
- Weighted Recall: 0.652
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/zgoovw/autotrain-bert-base-japanese-classify-42185108358
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("zgoovw/autotrain-bert-base-japanese-classify-42185108358", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("zgoovw/autotrain-bert-base-japanese-classify-42185108358", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
Licenses
The pretrained models are distributed under the terms of the Creative Commons Attribution-ShareAlike 3.0.