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autotrain-filipino-hate-speech-roberta-tagalog-base-66889136741
raphaesq/autotrain-filipino-hate-speech-roberta-tagalog-base-66889136741
autotrain-filipino-hate-speech-roberta-tagalog-base-66889136741 is a text classification model from raphaesq. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 66889136741 - CO2 Emissions (in grams): 0.2025
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Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 66889136741
- CO2 Emissions (in grams): 0.2025
Validation Metrics
- Loss: 0.301
- Accuracy: 0.857
- Precision: 0.517
- Recall: 0.500
- AUC: 0.876
- F1: 0.509
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/raphaesq/autotrain-filipino-hate-speech-roberta-tagalog-base-66889136741
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("raphaesq/autotrain-filipino-hate-speech-roberta-tagalog-base-66889136741", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("raphaesq/autotrain-filipino-hate-speech-roberta-tagalog-base-66889136741", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Languages
- unk
- Created
- Jun 15, 2023
- Updated
- Jun 15, 2023