| --- |
| license: cc-by-2.0 |
| datasets: |
| - yahma/alpaca-cleaned |
| language: |
| - el |
| - aa |
| metrics: |
| - Josh98/nl2bash_m |
| base_model: |
| - AIDC-AI/Marco-o1 |
| pipeline_tag: fill-mask |
| library_name: fastai |
| tags: |
| - art |
| --- |
| |
| 💪💪 [New update version Try here](https://play.eslgaming.com/player/myinfos/20511613/) |
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| Feature : |
| . Auto Farm |
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| . AFK Auto Fish |
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| . inf money |
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| . Fully Auto Missions |
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| . Auto Quest |
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| . Instant Kill |
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| . Bring |
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| . Collect Item |
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| . Open Chest |
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| . Bypass Level |
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| . Instant Level |
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| & More! |
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| The stain normalizer has a native Tensorflow transform and can be directly applied to a tf.data.Dataset: |
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| # Map the stain normalizer transformation |
| # to a tf.data.Dataset |
| dataset = dataset.map(normalizer.tf_to_tf) |
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| Alternatively, the model can be used to generate predictions for whole-slide images processed through Slideflow in an end-to-end Project. To use the model to generate predictions on data processed with Slideflow, simply pass the model to the Project.predict() function: |
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