Create README.md

README.md

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+To load this model from the Hugging Face Hub in Python:
+```python
+# 0. If in Colab and it's a new session, or if model is private, authenticate:
+# from huggingface_hub import notebook_login; notebook_login()
+
+# 1. Import necessary libraries:
+from transformers import AutoModelForCausalLM, AutoTokenizer
+# The following torch imports might be needed if you were to define the classes manually,
+# but trust_remote_code=True should handle it by loading them from the Hub.
+# import torch
+# import torch.nn as nn
+
+# 2. Define your model ID:
+MODEL_ID = "moelanoby/Sensitive-Qwen-0.5B"
+
+# 3. Load tokenizer and model (trust_remote_code=True is CRUCIAL):
+# This allows Transformers to download and use the Python file ('LLMadd.py')
+# from your Hub repository, which contains the definitions for
+# `SensitivityModule` and `SensitiveBottleneckLayer`.
+
+try:
+    tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, trust_remote_code=True)
+    model = AutoModelForCausalLM.from_pretrained(MODEL_ID, trust_remote_code=True, device_map='auto') # Add other params as needed
+    print(f'Model {MODEL_ID} loaded successfully!')
+except Exception as e:
+    print(f'Error loading model: {e}')
+    print('Ensure the custom code file (LLMadd.py) in the Hub repo is correct and classes are defined.')
+
+# 4. Example generation (adjust based on your model's chat template, e.g., Qwen2-Instruct):
+# prompt = "What is the capital of France?"
+# messages = [{"role": "user", "content": prompt}]
+# text_input = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+# model_inputs = tokenizer([text_input], return_tensors="pt").to(model.device)
+# generated_ids = model.generate(model_inputs.input_ids, max_new_tokens=50)
+# result = tokenizer.batch_decode(generated_ids[:, model_inputs.input_ids.shape[-1]:], skip_special_tokens=True)[0]
+# print(f'Generated: {result}')
+```
+
+IMPORTANT: `trust_remote_code=True` allows the execution of Python code
+from the 'moelanoby/Sensitive-Qwen-0.5B' repository on Hugging Face Hub.