---
license: apache-2.0
datasets:
- jaksani1/TeluguDataset
language:
- te
- en
base_model:
- google-bert/bert-base-multilingual-cased
---
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.