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seqtoseq
Deepu2672/seqtoseq
seqtoseq is a machine learning model from Deepu2672. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This project implements a Sequence-to-Sequence (Seq2Seq) model, likely for applications in natural language processing (NLP), such as machine translation, text summarization, or other sequence prediction tasks. The no…
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Updated Nov 16, 2024
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At a glance
- License
- mit
- Access
- Public
- Created
- Nov 16, 2024
- Updated
- Nov 16, 2024
- SHA
- f33e08cb
Model card
From the Hugging Face model README
Sequence-to-Sequence Model
This project implements a Sequence-to-Sequence (Seq2Seq) model, likely for applications in natural language processing (NLP), such as machine translation, text summarization, or other sequence prediction tasks. The notebook provides a step-by-step guide to building and training the model.
Features
- Implements a Seq2Seq architecture.
- Contains preprocessing steps for input/output sequences.
- Includes detailed explanations and visualizations for key components.
- Supports training, validation, and evaluation of the model.
Requirements
Ensure the following libraries and dependencies are installed:
- Python (>=3.8)
- NumPy
- TensorFlow or PyTorch (depending on the implementation)
- License
- mit
- Created
- Nov 16, 2024
- Updated
- Nov 16, 2024