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license: apache-2.0
---



Nikhitha Telugu Dataset Model
Model ID: Nikitha-logics/Nikhitha_telugu_dataset_model

Model Type: ALBERT-based Language Model

License: Apache-2.0

Model Overview
The Nikhitha Telugu Dataset Model is an ALBERT-based language model trained on a Telugu language dataset. ALBERT (A Lite BERT) is a transformer-based model designed for natural language processing tasks, optimized for efficiency and performance.

Model Details
Model Size: 33.2 million parameters

Tensor Type: Float32 (F32)

Format: Safetensors

Usage
To utilize this model in your projects, you can load it using the Hugging Face Transformers library:

from transformers import AlbertTokenizer, AlbertForMaskedLM

# Load the tokenizer
tokenizer = AlbertTokenizer.from_pretrained("Nikitha-logics/Nikhitha_telugu_dataset_model")

# Load the model
model = AlbertForMaskedLM.from_pretrained("Nikitha-logics/Nikhitha_telugu_dataset_model")