Instructions to use Developerathish/Darkwitch-ASI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Developerathish/Darkwitch-ASI with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Developerathish/Darkwitch-ASI", set_active=True) - Notebooks
- Google Colab
- Kaggle
Commit History
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README.md
Verified signature# Darkwitch-ASI ## Model Overview Darkwitch-ASI is a machine learning model designed for [mention purpose, e.g., sentiment analysis, text generation, chatbot, etc.]. It is based on [mention model architecture, e.g., BERT, GPT-2, etc.]. ## Model Details - **Model Type:** [e.g., Transformer-based, LSTM, CNN] - **Training Data:** [Describe dataset used, e.g., Wikipedia, Twitter dataset] - **Fine-tuning:** [If fine-tuned, specify on what dataset] - **Use Cases:** [e.g., Chatbots, Sentiment Analysis, Text Summarization] ## How to Use You can load this model using the `transformers` library: ```python from transformers import AutoModel, AutoTokenizer model_name = "Developerathish/Darkwitch-ASI" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModel.from_pretrained(model_name) text = "Enter your text here..." inputs = tokenizer(text, return_tensors="pt") outputs = model(**inputs)43afd76 -
initial commit
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