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README.md

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 ---
+language: ro
 license: apache-2.0
 ---
+
+# T5x-large-romanian
+
+This is a pretrained-from-scratch [t5x](https://github.com/google-research/t5x) large model (783M parameters).
+
+Training was performed on a clean 80GB Romanian text corpus for 4M steps with these [scripts](https://github.com/dumitrescustefan/t5x_models). The model was trained with an encoder and decoder sequence length of 512.
+
+#### **IMPORTANT** This model was pretrained on the span corruption LM task, meaning this model is **not usable** in any downstream task **without finetuning** first!
+
+### How to load a t5x model
+
+```python
+from transformers import T5Tokenizer, T5Model
+
+tokenizer = T5Tokenizer.from_pretrained('dumitrescustefan/t5x-large-romanian')
+model = T5Model.from_pretrained('dumitrescustefan/t5x-large-romanian')
+
+input_ids = tokenizer("Acesta este un test", return_tensors="pt").input_ids  # Batch size 1
+decoder_input_ids = tokenizer("Acesta este", return_tensors="pt").input_ids  # Batch size 1
+
+# preprocess: Prepend decoder_input_ids with start token which is pad token for T5Model.
+# This is not needed for torch's T5ForConditionalGeneration as it does this internally using labels arg.
+decoder_input_ids = model._shift_right(decoder_input_ids)
+
+# forward pass
+outputs = model(input_ids=input_ids, decoder_input_ids=decoder_input_ids)
+last_hidden_states = outputs.last_hidden_state
+
+print(last_hidden_states.shape)  # this will print [1, 3, 1024]
+```
+
+Remember to always sanitize your text! Replace ``ş`` and ``ţ`` cedilla-letters to comma-letters with :
+```python
+text = text.replace("ţ", "ț").replace("ş", "ș").replace("Ţ", "Ț").replace("Ş", "Ș")
+```
+because the model was **not** trained on cedilla ``ş`` and ``ţ``s. If you don't, you will have decreased performance due to ``<UNK>``s and increased number of tokens per word.
+
+### Acknowledgements
+
+We'd like to thank [TPU Research Cloud](https://sites.research.google/trc/about/) for providing the TPUv4 cores we used to train these models!
+
+### Authors
+
+Yours truly,  
+
+_[Stefan Dumitrescu](https://github.com/dumitrescustefan), [Mihai Ilie](https://github.com/iliemihai) and [Per Egil Kummervold](https://huggingface.co/north)_

added_tokens.json

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+{"<pad>": 64100}

config.json

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+{
+  "_name_or_path": "checkpoint_4000000_fl",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "d_ff": 2816,
+  "d_kv": 64,
+  "d_model": 1024,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "mt5",
+  "num_decoder_layers": 24,
+  "num_heads": 16,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.1",
+  "use_cache": true,
+  "vocab_size": 64000
+}

special_tokens_map.json

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spiece.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e8b0c94f9d6e9e75161a1365e73132f35666ab675de0d5ae10ec9f6f5eacda09
+size 1457188

tokenizer_config.json

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