Instructions to use Artificial-superintelligence/Athai-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Artificial-superintelligence/Athai-test with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Artificial-superintelligence/Athai-test") - Notebooks
- Google Colab
- Kaggle
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README.md
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- Guess
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- Artificial superintelligent
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- Agi
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license: bigscience-openrail-m
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datasets:
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- BAAI/Infinity-Instruct
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language:
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- ar
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metrics:
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- code_eval
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base_model: black-forest-labs/FLUX.1-schnell
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library_name: fasttext
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---
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- Guess
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- Artificial superintelligent
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- Agi
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language:
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- ar
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library_name: fasttext
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pipeline_tag: token-classification
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