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  1. .gitattributes +1 -0
  2. README.md +25 -0
  3. config.json +43 -0
  4. merges.txt +0 -0
  5. special_tokens_map.json +1 -0
  6. tf_model.h5 +3 -0
  7. tokenizer_config.json +1 -0
  8. vocab.json +0 -0
.gitattributes CHANGED
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README.md ADDED
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+ Model card for RoGPT2-large
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+
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+ ---
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+ language:
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+ - ro
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+ ---
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+
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+ # RoGPT2: Romanian GPT2 for text generation
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+
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+ All models are available:
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+ * [RoBERT-base](https://huggingface.co/readerbench/RoGPT2-base)
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+ * [RoBERT-medium](https://huggingface.co/readerbench/RoGPT2-medium)
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+ * [RoBERT-large](https://huggingface.co/readerbench/RoGPT2-large)
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+
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+ #### How to use
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+ ```python
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+
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+ from transformers import AutoTokenizer, TFAutoModelWithLMHead
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+
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+ tokenizer = AutoTokenizer.from_pretrained('readerbench/RoGPT2-large')
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+ model = TFAutoModelWithLMHead.from_pretrained('readerbench/RoGPT2-large')
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+ inputs = tokenizer.encode("Este o zi de vara", return_tensors='tf')
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+ text = model.generate(inputs, max_length=1024, no_repeat_ngram_size=2)
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+ print(tokenizer.decode(text[0]))
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+ ```
config.json ADDED
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+ {
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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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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "gpt2",
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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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+ "transformers_version": "4.5.1",
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+ "use_cache": true,
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+ "vocab_size": 50257
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+ }
merges.txt ADDED
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vocab.json ADDED
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