| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - text-classification | |
| - sentiment-analysis | |
| - question-answering | |
| - mobilebert | |
| - lightweight | |
| base_model: google/mobilebert-uncased | |
| model_name: PRV AI 1.0 | |
| # PRV AI 1.0 | |
| ## Model Description | |
| PRV AI 1.0 is a lightweight and efficient AI model designed for natural language processing tasks. | |
| ## Model Details | |
| - **Model Name:** PRV AI 1.0 | |
| - **Version:** 1.0 | |
| - **Parameters:** 24.5 Million | |
| - **Developed by:** PRV | |
| - **Language:** English | |
| - **License:** Apache 2.0 | |
| ## What Can PRV AI 1.0 Do? | |
| - Text Classification | |
| - Sentiment Analysis | |
| - Question Answering | |
| - Named Entity Recognition | |
| ## How to Use | |
| ```python | |
| from transformers import MobileBertTokenizer, MobileBertModel | |
| tokenizer = MobileBertTokenizer.from_pretrained("Prava1/PRV-AI-1.0") | |
| model = MobileBertModel.from_pretrained("Prava1/PRV-AI-1.0") | |
| ``` | |
| ## Base Model | |
| PRV AI 1.0 is built on top of MobileBERT by Google Research. | |
| Original model: google/mobilebert-uncased | |
| ## License | |
| This model is licensed under the Apache 2.0 License. | |
| Original MobileBERT credit goes to Google Research. |