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chess-net
kruskakli/chess-net
chess-net is a machine learning model from kruskakli. 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 mpl-2.0.
All-time downloads
34
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Repo size
13.9 MB
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0
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Repo makeup
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At a glance
- License
- mpl-2.0
- Model type
- ChessNet
- Access
- Public
- Created
- Sep 30, 2024
- Updated
- Sep 30, 2024
- SHA
- 0e61307d
Model card
From the Hugging Face model README
Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->This model is used for playing chess.
Model Details
Model Description
<!-- Provide a longer summary of what this model is. -->- Developed by: kruskakli
- Model type: Fully Connected Neural Network (FNN) for Chess Move Prediction
- License: mpl-2.0
Model Sources [optional]
<!-- Provide the basic links for the model. -->- Repository: https://github.com/etnt/ChessNet
Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->This model is used for playing chess. together with the code in: https://github.com/etnt/ChessNet
How to Get Started with the Model
TBD
Training Details
Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->[More Information Needed]
Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->TBD
- Type
- ChessNet
- License
- mpl-2.0
- Created
- Sep 30, 2024
- Updated
- Sep 30, 2024