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language_identifications
Jurabek/language_identifications
language_identifications is a machine learning model from Jurabek. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for tf-keras.
This model is designed for language detection. It can classify text into three languages: English, Russian, and Uzbek.
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At a glance
- Library
- tf-keras
- Model type
- language_detection
- Access
- Public
- Created
- Oct 30, 2023
- Updated
- Oct 30, 2023
- SHA
- b2a1edd2
Model card
From the Hugging Face model README
Language Detection Model
Overview
This model is designed for language detection. It can classify text into three languages: English, Russian, and Uzbek.
Usage
- Load the model using the Hugging Face Transformers library.
- Preprocess your text data.
- Make predictions with the model.
Model Files
config.json: Model configuration.pytorch_model.bin: Model weights.
Example
Here's how to use the model in Python:
# Load the model
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("Jurabek/language_identifications")
tokenizer = AutoTokenizer.from_pretrained("Jurabek/language_identifications")
inputs = tokenizer(audio, return_tensors="pt")
outputs = model(**inputs)
predicted_class = outputs.logits.argmax().item()
- Library
- tf-keras
- Type
- language_detection
- Created
- Oct 30, 2023
- Updated
- Oct 30, 2023