Improve language tag

README.md

@@ -1,48 +1,62 @@
----
-tags:
-- autotrain
-- text-generation-inference
-- text-generation
-- peft
-library_name: transformers
-base_model: Qwen/Qwen2.5-0.5B-Instruct
-widget:
-  - messages:
-      - role: user
-        content: What is your favorite condiment?
-license: other
-datasets:
-- ttbui/html_alpaca
----
-
-# Model Trained Using AutoTrain
-
-This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
-
-# Usage
-
-```python
-
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model_path = "yasserrmd/qwen2.5-html-0.5b"
-
-tokenizer = AutoTokenizer.from_pretrained(model_path)
-model = AutoModelForCausalLM.from_pretrained(
-    model_path,
-    device_map="auto",
-    torch_dtype='auto'
-).eval()
-
-# Prompt content: "hi"
-messages = [
-    {"role": "user", "content": "generate a sample html for dashboard"}
-]
-
-input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
-output_ids = model.generate(input_ids.to('cuda'))
-response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
-
-# Model response: "Hello! How can I assist you today?"
-print(response)
+---
+tags:
+- autotrain
+- text-generation-inference
+- text-generation
+- peft
+library_name: transformers
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+widget:
+- messages:
+  - role: user
+    content: What is your favorite condiment?
+license: other
+datasets:
+- ttbui/html_alpaca
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+
+# Model Trained Using AutoTrain
+
+This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
+
+# Usage
+
+```python
+
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_path = "yasserrmd/qwen2.5-html-0.5b"
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForCausalLM.from_pretrained(
+    model_path,
+    device_map="auto",
+    torch_dtype='auto'
+).eval()
+
+# Prompt content: "hi"
+messages = [
+    {"role": "user", "content": "generate a sample html for dashboard"}
+]
+
+input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
+output_ids = model.generate(input_ids.to('cuda'))
+response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
+
+# Model response: "Hello! How can I assist you today?"
+print(response)
 ```