Text Generation
ELM
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  # SliceX AI™ ELM (Efficient Language Models)
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  This repository contains code to run our ELM models.
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- Models are located in the "models" folder. ELM models in this repository comes in three sizes (elm-1.0, elm-0.75 and elm-0.25) and supports the following use-case
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  - toxicity_detection
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  ## Download ELM repo
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  ```bash
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- git clone git@hf.co:slicexai/elm-v0.1_toxicity_detection
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  sudo apt-get intall git-lfs
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  git lfs install
 
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  ```
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  (Optional) Installing git-lfs without sudo,
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  ```bash
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  git lfs install
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  ```
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- ## Download ELM model checkpoints
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- ```bash
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- cd elm-v0.1_toxicity_detection
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- git lfs pull -I models/elm-1.0_toxicity_detection/ckpt.pt
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- git lfs pull -I models/elm-0.75_toxicity_detection/ckpt.pt
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- git lfs pull -I models/elm-0.25_toxicity_detection/ckpt.pt
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- ```
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-
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  ## Installation
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  ```bash
 
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  pip install -r requirements.txt
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  ```
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- ## How to use - Run ELM on a sample task (e.g., news classification)
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  ```bash
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  python run.py <elm-model-directory>
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  E.g. python run.py models/elm-0.75_toxicity_detection
 
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  # SliceX AI™ ELM (Efficient Language Models)
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  This repository contains code to run our ELM models.
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+ Models are located in the "models" folder. ELM models in this repository comes in three sizes (elm-1.0, elm-0.75 and elm-0.25) and supports the following use-case.
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  - toxicity_detection
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  ## Download ELM repo
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  ```bash
 
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  sudo apt-get intall git-lfs
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  git lfs install
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+ git clone git@hf.co:slicexai/elm-v0.1_toxicity_detection
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  ```
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  (Optional) Installing git-lfs without sudo,
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  ```bash
 
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  git lfs install
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  ```
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  ## Installation
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  ```bash
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+ cd elm-v0.1_toxicity_detection
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  pip install -r requirements.txt
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  ```
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+ ## How to use - Run ELM on a sample task
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  ```bash
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  python run.py <elm-model-directory>
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  E.g. python run.py models/elm-0.75_toxicity_detection