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bert-base-uncased-llm-classificator

Text Classification

Inference Endpoints

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admetaq commited on May 23

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@@ -8,4 +8,4 @@ metrics:
 - recall
 ---
 Fine-tuned bert-base-uncased model that given a text predicts what was the Large Language Model that wrote it. The LLMs that the model can predict are: GPT 4, Meta-Llama-3-8B, Phi-3-mini-128k-instruct and Mixtral-8x7B-Instruct-v0.1.
-Minimum of 80 words and a maximum of 500 is recommended .

 - recall
 ---
 Fine-tuned bert-base-uncased model that given a text predicts what was the Large Language Model that wrote it. The LLMs that the model can predict are: GPT 4, Meta-Llama-3-8B, Phi-3-mini-128k-instruct and Mixtral-8x7B-Instruct-v0.1.
+Minimum of 80 chars and a maximum of 500 is recommended .