jaksani1/telugumodel

My Colloquial Telugu Model

Overview

This model is fine-tuned on colloquial Telugu text to enhance natural language understanding and generation in informal Telugu conversations. It can be used for chatbots, sentiment analysis, text classification, and other NLP tasks.

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Model Details

Model Name: My Colloquial Telugu Model

Base Model: bert-base-multilingual-cased

Training Data: Telugu colloquial dataset containing informal conversations

Fine-tuning Details:

Epochs: 3

Batch Size: 16

Optimizer: AdamW

Language: Telugu

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Usage

This model can be used for text generation, classification, and translation.

Using the Model in Python

To use this model in Python, install the required libraries:

pip install transformers torch

Then, load the model:

from transformers import AutoModel, AutoTokenizer

model_name = "your-hf-username/my_colloquial_telugu_model" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModel.from_pretrained(model_name)

text = "ఇవాళ వాతావరణం ఎలా ఉంది?" inputs = tokenizer(text, return_tensors="pt") outputs = model(**inputs) print(outputs)

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Performance

Accuracy/F1 Score: TBD (To Be Determined)

Limitations:

May struggle with highly formal or technical Telugu text.

Performance depends on dataset quality and coverage.

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License

This model is released under the Apache 2.0 license.