Update README.md

README.md

@@ -1,20 +1,19 @@
 ---
 base_model: mistralai/Mistral-7B-Instruct-v0.3
 tags:
-- mistral
-- hr
-- human-resources
-- recruitment
-- intent-detection
-- entity-extraction
-- merged
-- whisprnet
+  - mistral
+  - hr
+  - human-resources
+  - recruitment
+  - intent-detection
+  - entity-extraction
+  - merged
 license: apache-2.0
 ---
 
-# WhisprNet.AI Recruitment Intent & Entity Extraction (Merged Model)
+# Recruitment Intent & Entity Extraction (Merged Model)
 
-This is the merged version of the WhisprNet.AI recruitment intent and entity extraction model. No adapter loading required!
+This is the merged version of the recruitment intent and entity extraction model. No adapter loading required!
 
 ## Model Description
 
@@ -37,8 +36,8 @@ Fine-tuned Mistral-7B model for extracting intents and entities from recruitment
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("subashmourougayane/whisprnet.ai-recruitement-intent-entity-extraction")
-tokenizer = AutoTokenizer.from_pretrained("subashmourougayane/whisprnet.ai-recruitement-intent-entity-extraction")
+model = AutoModelForCausalLM.from_pretrained("subashmourougayane/recruitement-intent-entity-extraction")
+tokenizer = AutoTokenizer.from_pretrained("subashmourougayane/recruitement-intent-entity-extraction")
 
 messages = [
     {"role": "system", "content": "Extract intent and entities from HR requests. Return JSON format."},
@@ -58,10 +57,3 @@ print(response)
 - **Response Time**: ~4.3 seconds average
 - **GPU Memory**: ~4.4GB
 
-## Original Adapter
-
-This model was created by merging the adapter from: [subashmourougayane/whisprnet-hr-entity-extraction](https://huggingface.co/subashmourougayane/whisprnet-hr-entity-extraction)
-
-## About WhisprNet.AI
-
-WhisprNet.AI specializes in AI-powered recruitment and HR solutions.