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@@ -48,7 +48,7 @@ Violet was built on a corpus spanning 1800–1899 sourced from Project Gutenberg
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  This project began as an attempt to build a local LLM without relying on copyrighted training sources. The author also values local models that can run on a user’s machine without sending data to the cloud.
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  ## Demo Resources
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- - HF Space: [Transformers.js Demo](Zakarth/violetdemo)
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  - CloudFlare Mirror: [Transformers.js Demo](https://pub-353f427e6227415cb077f3645638c125.r2.dev/index.html)
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  - Both of these are intended to use WebGPU and run local on your system -- No data is sent to the cloud.
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@@ -87,7 +87,7 @@ Special tokens used during training (typical IDs from training config):
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  !! Do not mix tokenizers from other Violet variants (e.g. 160M) with this model.
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- ## How to use (Transformers)
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  ```code
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  import torch
 
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  This project began as an attempt to build a local LLM without relying on copyrighted training sources. The author also values local models that can run on a user’s machine without sending data to the cloud.
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  ## Demo Resources
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+ - HF Space: [Transformers.js Demo](/spaces/zakarth/violetdemo)
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  - CloudFlare Mirror: [Transformers.js Demo](https://pub-353f427e6227415cb077f3645638c125.r2.dev/index.html)
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  - Both of these are intended to use WebGPU and run local on your system -- No data is sent to the cloud.
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  !! Do not mix tokenizers from other Violet variants (e.g. 160M) with this model.
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+ ## How to use (Transformers.js)
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  ```code
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  import torch