Update README.md

README.md

@@ -1,11 +1,11 @@
 ---
 license: apache-2.0
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-# 🏷️ EAI-Taxonomy-0.5b
+# 🏷️ EAI-Distill-0.5b
 
 ## 📋 Model Description
 
-EAI-Taxonomy-0.5b is a fine-tuned version of Qwen2.5-0.5B-Instruct designed for document classification across 12 taxonomic categories. This model is optimized for high-throughput classification of web documents and produces structured metadata for large-scale dataset curation.
+EAI-Distill-0.5b is a fine-tuned version of Qwen2.5-0.5B-Instruct designed for document classification across 12 taxonomic categories. This model is optimized for high-throughput classification of web documents and produces structured metadata for large-scale dataset curation.
 
 The model classifies documents across the following dimensions:
 - **📚 Free Decimal Correspondence (FDC)**: Subject matter classification based on the Dewey Decimal System
@@ -35,8 +35,8 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 import random
 
 # Load model and tokenizer
-tokenizer = AutoTokenizer.from_pretrained("your-org/EAI-Taxonomy-0.5b", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("your-org/EAI-Taxonomy-0.5b")
+tokenizer = AutoTokenizer.from_pretrained("EssentialAI/EAI-Distill-0.5b", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("EssentialAI/EAI-Distill-0.5b")
 
 def chunk_text(text, max_char_per_doc=30000):
     if len(text) <= max_char_per_doc: