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README.md CHANGED
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  ---
 
 
 
 
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  license: mit
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language: en
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+ tags:
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+ - gpt2
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+ - text-generation
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  license: mit
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  ---
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+
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+ # QnQGPT Model
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+
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+ This is a custom GPT model based on GPT-2 architecture.
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+
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+ ## Model Details
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+
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+ - Model Type: GPT-2
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+ - Base Model: gpt2
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+ - Training Data: [Describe your training data]
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+ - Use Cases: [Describe intended use cases]
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+
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+ ## Usage
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ model = AutoModelForCausalLM.from_pretrained("karthikqnq/qnqgpt")
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+ tokenizer = AutoTokenizer.from_pretrained("karthikqnq/qnqgpt")
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+
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+ # Generate text
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+ text = "Hello, how are"
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+ inputs = tokenizer(text, return_tensors="pt")
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+ outputs = model.generate(**inputs, max_length=50)
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+ result = tokenizer.decode(outputs[0])
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+ print(result)
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+ ```
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+
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+ ## Training Details
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+
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+ [Add your training details here]
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+
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+ ## Limitations
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+
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+ [Add model limitations here]
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+
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+ ## License
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+
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+ This model is released under the MIT License.
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+ "_name_or_path": "gpt2",
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ "GPT2LMHeadModel"
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+ ],
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+ "attn_pdrop": 0.1,
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+ "bos_token_id": 50256,
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+ "layer_norm_epsilon": 1e-05,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ "summary_use_proj": true,
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+ "task_specific_params": {
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+ "text-generation": {
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+ "do_sample": true,
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+ "max_length": 50
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.45.2",
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+ "use_cache": true,
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+ "vocab_size": 50260
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+ }
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