Instructions to use AijazForge/Manan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AijazForge/Manan with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("AijazForge/Manan", set_active=True) - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
Verified signature--- title: Manan author: AijazForge language: en license: apache-2.0 tags: - text-generation - language-model - ai-assistant --- # Manan Manan is a fine-tuned language model developed by AijazForge, optimized for text generation and conversational applications. This model supports professional use cases including content creation, question answering, and code assistance. [web:38][web:15] ## Model Overview - **Developer:** AijazForge - **Architecture:** Transformer-based large language model. - **Parameters:** [Insert parameter count, e.g., 7B]. - **Intended Applications:** Enterprise prototyping, educational tools, and developer workflows. [web:26] ## Usage Instructions ```python from transformers import AutoTokenizer, AutoModelForCausalLM model_name = "AijazForge/Manan" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModelForCausalLM.from_pretrained(model_name) inputs = tokenizer("Describe neural networks:", return_tensors="pt") outputs = model.generate(*…5575490 -
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