Update README.md

README.md

@@ -1,46 +1,12 @@
 ---
 tags:
-- autotrain
-- text-generation-inference
-- text-generation
-- peft
+- modelica
 library_name: transformers
 base_model: Qwen/Qwen2.5-Coder-7B-Instruct
-widget:
- - messages:
- - role: user
- content: What is your favorite condiment?
-license: other
+license: apache-2.0
+language:
+- en
+pipeline_tag: text2text-generation
 ---
 
-# 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 = "PATH_TO_THIS_REPO"
-
-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": "hi"}
-]
-
-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)
-```
+# ModeliCo - The Modelica GPT