Upload gpt2 ONNX model

README.md

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+---
+library_name: onnx
+tags:
+  - text-generation
+  - gpt2
+  - onnx
+  - inference4j
+license: mit
+pipeline_tag: text-generation
+---
+
+# GPT-2 — ONNX
+
+ONNX export of [GPT-2](https://huggingface.co/openai-community/gpt2) (124M parameters) with KV cache support for efficient autoregressive generation.
+
+Converted for use with [inference4j](https://github.com/inference4j/inference4j), an inference-only AI library for Java.
+
+## Original Source
+
+- **Repository:** [OpenAI](https://huggingface.co/openai-community/gpt2)
+- **License:** MIT
+
+## Usage with inference4j
+
+```java
+try (Gpt2TextGenerator gen = Gpt2TextGenerator.builder().build()) {
+    GenerationResult result = gen.generate("Once upon a time");
+    System.out.println(result.text());
+}
+```
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| Architecture | GPT-2 (124M parameters, 12 layers, 768 hidden, 12 heads) |
+| Task | Text generation |
+| Context length | 1024 tokens |
+| Vocabulary | 50257 tokens (BPE) |
+| Original framework | PyTorch (transformers) |
+| Export method | Hugging Face Optimum (with KV cache) |
+
+## License
+
+This model is licensed under the [MIT License](https://opensource.org/licenses/MIT). Original model by [OpenAI](https://openai.com/).

config.json

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+{
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "dtype": "float32",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "transformers_version": "4.57.6",
+  "use_cache": true,
+  "vocab_size": 50257
+}

model.onnx

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