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.
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
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)
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.
License
This model is released under the Apache 2.0 license.