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--- |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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language: |
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- hi |
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tags: |
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- pretrained |
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inference: |
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parameters: |
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temperature: 0.7 |
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--- |
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# pranavajay/hindi-8b |
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## Overview |
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🌟 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. |
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## Model Details |
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- **Base Model**: A robust pre-trained language model, adapted for Hindi. |
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- **Fine-Tuning**: The model has been further fine-tuned on a diverse dataset of Hindi conversations to enhance its conversational capabilities. |
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- **Language Support**: Primarily Hindi, with the ability to understand and respond in contextually appropriate English when necessary. |
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- **Model Size**: 10.2B parameters for rich and nuanced responses. |
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- **Usage**: Ideal for building interactive AI applications that require natural language understanding and generation in Hindi. |
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## Quick Start |
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To use the "pranavajay/hindi-8b" model with the Hugging Face Transformers library, follow these steps: |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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# Load the tokenizer and model |
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tokenizer = AutoTokenizer.from_pretrained("pranavajay/hindi-8b") |
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model = AutoModelForCausalLM.from_pretrained("pranavajay/hindi-8b") |
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# Example conversation |
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input_text = "हमारे देश का नवाब कौन है?" |
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input_ids = tokenizer.encode(input_text, return_tensors="pt") |
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output = model.generate(input_ids, max_length=50, num_return_sequences=1) |
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# Decode the response |
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response = tokenizer.decode(output[0], skip_special_tokens=True) |
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print(response) |
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``` |
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Training |
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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. |
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License |
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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. |
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Citation |
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If you use the "pranavajay/hindi-8b" model in your research or applications, please cite it as follows: |
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bibtex |
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``` |
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@misc{hindi-8b, |
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author = {Pranav Ajay}, |
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title = {Hindi Chat 8B Model}, |
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year = {2024}, |
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publisher = {Hugging Face}, |
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journal = {Hugging Face Model Repository}, |
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howpublished = {\url{https://huggingface.co/pranavajay/hindi-chat-8b}} |
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} |
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``` |
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Feedback and Support |
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For any questions, feedback, or support regarding the "pranavajay/hindi-chat-8b" model, please contact us at pranavajay74@gmail.com |
