Add pipeline tag and Transformers library name

This PR ensures your model can be found at https://huggingface.co/models?pipeline_tag=text-generation.
It also makes it so the model card indicates that the model is compatible with the Transformers library.

README.md

@@ -1,11 +1,13 @@
 ---
-license: cc-by-nc-4.0
+base_model:
+- meta-llama/Llama-3.3-70B-Instruct
 language:
 - en
+license: cc-by-nc-4.0
 metrics:
 - accuracy
-base_model:
-- meta-llama/Llama-3.3-70B-Instruct
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
 # CoALM-70B: Conversational Agentic Language Model
@@ -61,9 +63,7 @@ CoALM-70B has been fine-tuned on a **comprehensive multi-tasking** covering dial
 ---
 ## Training Process
 ### 🔧 Fine-tuning Stages
-1. **TOD Fine-tuning:** Optimized for dialogue state tracking (e.g., augmented SNIPS in instruction-tuned format).
-2. **Function Calling Fine-tuning:** Trained to generate precise API calls from LA datasets.
-3. **ReAct-based Fine-tuning:** Enhances multi-turn conversations with API integrations through structured reasoning.
+1. **TOD Fine-tuning:** Optimized for dialogue state tracking (e.g., augmented SNIPS in instruction-tuned format).\n2. **Function Calling Fine-tuning:** Trained to generate precise API calls from LA datasets.\n3. **ReAct-based Fine-tuning:** Enhances multi-turn conversations with API integrations through structured reasoning.
 
 ### 🔍 Training Hyperparameters
 - **Base Model:** Llama 3.3 70B Instruct