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@@ -29,6 +29,7 @@ Our model's architecture is fully compatible with leading training frameworks su
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  ## Example:
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  AstraQuasar-4B can be easily instantiated using the Hugging Face Transformers library:
 
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  model = AutoModelForCausalLM.from_pretrained("AstraMindAI/AstraQuasar-4B", trust_remote_code=True)
@@ -61,4 +62,4 @@ It's important to note that AstraQuasar-4B is a pre-trained base model and does
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  Stay tuned for exciting developments! A new architecture, **AstraPulsar**, is on the horizon, promising further advancements in language modeling.
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  ## Credits:
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- - (Undi95)[https://huggingface.co/Undi95] for helping us to understanding the process self-calling layers.
 
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  ## Example:
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  AstraQuasar-4B can be easily instantiated using the Hugging Face Transformers library:
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+
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  model = AutoModelForCausalLM.from_pretrained("AstraMindAI/AstraQuasar-4B", trust_remote_code=True)
 
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  Stay tuned for exciting developments! A new architecture, **AstraPulsar**, is on the horizon, promising further advancements in language modeling.
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  ## Credits:
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+ - [Undi95](https://huggingface.co/Undi95) for helping us figuring out the process of self-calling layers.