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Model: ytu-ce-cosmos/turkish-gpt2-medium
Source: Original Platform

.gitattributes

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README.md

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+---
+license: mit
+datasets:
+- uonlp/CulturaX
+language:
+- tr
+pipeline_tag: text-generation
+
+tags:
+- Turkish
+- turkish
+- gpt2
+---
+
+# turkish-gpt2-medium
+
+This is a Turkish GPT-2-medium model. GPT-2 is designed for text generation tasks, providing the ability to continue a given text snippet in a coherent and contextually relevant manner.
+Due to the diverse nature of the training data, which includes websites, books, and other text sources, this model can exhibit biases. Users should be aware of these biases and use the model responsibly.
+
+## Example Usage
+```python
+from transformers import AutoTokenizer, GPT2LMHeadModel
+from transformers import pipeline
+
+model = GPT2LMHeadModel.from_pretrained("ytu-ce-cosmos/turkish-gpt2-medium")
+tokenizer = AutoTokenizer.from_pretrained("ytu-ce-cosmos/turkish-gpt2-medium")
+
+text_generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
+r = text_generator("Teknolojinin gelişimi hayatımızı önemli ölçüde etkiledi. ", max_length=100)
+[{'generated_text': 'Teknolojinin gelişimi hayatımızı önemli ölçüde etkiledi. "Teknoloji hayatın merkezindeyse, insan hayatında da önemli bir yere sahip demektir!" diyerek devam edelim.}]
+
+```
+
+Relevant information can be found in the [paper](https://arxiv.org/abs/2404.17336).
+
+# Acknowledgments
+- Research supported with Cloud TPUs from [Google's TensorFlow Research Cloud](https://sites.research.google/trc/about/) (TFRC). Thanks for providing access to the TFRC ❤️
+- Thanks to the generous support from the Hugging Face team, it is possible to download models from their S3 storage 🤗
+
+# Citation
+```bibtex
+@article{kesgin2024introducing,
+  title={Introducing cosmosGPT: Monolingual Training for Turkish Language Models},
+  author={Kesgin, H Toprak and Yuce, M Kaan and Dogan, Eren and Uzun, M Egemen and Uz, Atahan and Seyrek, H Emre and Zeer, Ahmed and Amasyali, M Fatih},
+  journal={arXiv preprint arXiv:2404.17336},
+  year={2024}
+}
+```
+
+### Contact 
+COSMOS AI Research Group, Yildiz Technical University Computer Engineering Department   <br>
+https://cosmos.yildiz.edu.tr/ <br>
+cosmos@yildiz.edu.tr <br>
+
+

config.json

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+{
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 0,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 0,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 1024,
+  "n_head": 16,
+  "n_inner": null,
+  "n_layer": 24,
+  "n_positions": 1024,
+  "n_special": 0,
+  "pad_token_id": 0,
+  "predict_special_tokens": true,
+  "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
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.2"
+}

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special_tokens_map.json

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tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}