Update README.md

README.md

@@ -30,7 +30,7 @@ Bakwas v1 Alpha is a token classification model fine-tuned from `distilbert-base
 
 ### Model Sources
 
-- **Demo:** [https://huggingface.co/spaces/meet447/Bakwas-v1-alpha-demo]
+- **Demo:** https://huggingface.co/spaces/meet447/Bakwas-v1-alpha-demo
 - **Philosophy:** "Context Engineering over Prompt Engineering."
 
 ## Uses
@@ -63,8 +63,8 @@ Users should implement a "Structure Guard" (keeping punctuation) and a "Heuristi
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 import torch
 
-tokenizer = AutoTokenizer.from_pretrained("YOUR_USERNAME/bakwas-v1-alpha")
-model = AutoModelForTokenClassification.from_pretrained("YOUR_USERNAME/bakwas-v1-alpha")
+tokenizer = AutoTokenizer.from_pretrained("meet447/bakwas-v1-alpha")
+model = AutoModelForTokenClassification.from_pretrained("meet447/bakwas-v1-alpha")
 
 prompt = "Actually, I was just wondering if you could potentially help me with a small tiny Python script."
 inputs = tokenizer(prompt, return_tensors="pt")