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update task name (#1)
Browse files- update task name (adca5ebc6ca186e65554f0893c7bed39eb89ef6e)
Co-authored-by: Merve Noyan <[email protected]>
README.md
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---
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tags:
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-
-
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library_name: generic
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---
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#
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This is a template repository for
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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/
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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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# 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
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