pranavajay/hindi-8b

Overview

🌟 Introducing the "pranavajay/hindi-8b" model, a text generator language model specifically fine-tuned for Hindi language conversational tasks. This model is designed to engage in fluent and contextually relevant conversations, making it an ideal tool for chatbots, language translation, and more.

Model Details

• Base Model: A robust pre-trained language model, adapted for Hindi.
• Fine-Tuning: The model has been further fine-tuned on a diverse dataset of Hindi conversations to enhance its conversational capabilities.
• Language Support: Primarily Hindi, with the ability to understand and respond in contextually appropriate English when necessary.
• Model Size: 10.2B parameters for rich and nuanced responses.
• Usage: Ideal for building interactive AI applications that require natural language understanding and generation in Hindi.

Quick Start

To use the "pranavajay/hindi-8b" model with the Hugging Face Transformers library, follow these steps:

from transformers import AutoTokenizer, AutoModelForCausalLM

# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("pranavajay/hindi-8b")
model = AutoModelForCausalLM.from_pretrained("pranavajay/hindi-8b")

# Example conversation
input_text = "हमारे देश का नवाब कौन है?"
input_ids = tokenizer.encode(input_text, return_tensors="pt")
output = model.generate(input_ids, max_length=50, num_return_sequences=1)

# Decode the response
response = tokenizer.decode(output[0], skip_special_tokens=True)
print(response)

Training The "pranavajay/hindi-8b" model was trained using a combination of supervised learning and reinforcement learning techniques. The training dataset consisted of a wide range of Hindi conversations, including dialogues from various domains such as customer service, education, and entertainment.

License The "pranavajay/hindi-8b" model is released under the Apache License 2.0. Please review the license for details regarding the use, modification, and distribution of the model.

Citation If you use the "pranavajay/hindi-8b" model in your research or applications, please cite it as follows:

bibtex

@misc{hindi-8b,
  author = {Pranav Ajay},
  title = {Hindi Chat 8B Model},
  year = {2024},
  publisher = {Hugging Face},
  journal = {Hugging Face Model Repository},
  howpublished = {\url{https://huggingface.co/pranavajay/hindi-chat-8b}}
}

Feedback and Support For any questions, feedback, or support regarding the "pranavajay/hindi-chat-8b" model, please contact us at pranavajay74@gmail.com