osanseviero HF staff merve HF staff commited on
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update task name (#1)

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- update task name (adca5ebc6ca186e65554f0893c7bed39eb89ef6e)


Co-authored-by: Merve Noyan <merve@users.noreply.huggingface.co>

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  1. README.md +4 -4
README.md CHANGED
@@ -1,11 +1,11 @@
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  ---
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  tags:
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- - structured-data-classification
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  library_name: generic
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  ---
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- # Structured Data Classification repository template
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- This is a template repository for structured data classification to support generic inference with Hugging Face Hub generic Inference API. There are two required steps
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  1. Specify the requirements by defining a `requirements.txt` file.
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  2. Implement the `pipeline.py` `__init__` and `__call__` methods. These methods are called by the Inference API. The `__init__` method should load the model and preload all the elements needed for inference (model, processors, tokenizers, etc.). This is only called once. The `__call__` method performs the actual inference. Make sure to follow the same input/output specifications defined in the template for the pipeline to work.
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@@ -16,7 +16,7 @@ Example repos
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  First create a repo in https://hf.co/new.
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  Then clone this template and push it to your repo.
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  ```
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- git clone https://huggingface.co/templates/structured-data-classification
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  cd structured-data-classification
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  git remote set-url origin https://huggingface.co/$YOUR_USER/$YOUR_REPO_NAME
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  git push --force
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  ---
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  tags:
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+ - tabular-classification
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  library_name: generic
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  ---
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+ # Tabular Classification repository template
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+ This is a template repository for tabular classification to support generic inference with Hugging Face Hub generic Inference API. There are two required steps
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  1. Specify the requirements by defining a `requirements.txt` file.
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  2. Implement the `pipeline.py` `__init__` and `__call__` methods. These methods are called by the Inference API. The `__init__` method should load the model and preload all the elements needed for inference (model, processors, tokenizers, etc.). This is only called once. The `__call__` method performs the actual inference. Make sure to follow the same input/output specifications defined in the template for the pipeline to work.
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  First create a repo in https://hf.co/new.
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  Then clone this template and push it to your repo.
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  ```
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+ git clone https://huggingface.co/templates/tabular-classification
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  cd structured-data-classification
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  git remote set-url origin https://huggingface.co/$YOUR_USER/$YOUR_REPO_NAME
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  git push --force