初始化项目，由ModelHub XC社区提供模型

Model: flax-community/gpt-2-spanish
Source: Original Platform

train_tokenizer.py

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+#!/usr/bin/env python3
+from datasets import load_dataset
+from tokenizers import ByteLevelBPETokenizer
+# load dataset
+dataset = load_dataset("oscar", "unshuffled_deduplicated_es", split="train")
+# Instantiate tokenizer
+tokenizer = ByteLevelBPETokenizer()
+def batch_iterator(batch_size=10000):
+    for i in range(0, len(dataset), batch_size):
+        yield dataset[i: i + batch_size]["text"]
+# Customized training
+tokenizer.train_from_iterator(batch_iterator(), vocab_size=50265, min_frequency=2, special_tokens=[
+    "<s>",
+    "<pad>",
+    "</s>",
+    "<unk>",
+    "<mask>",
+])
+# Save files to disk
+tokenizer.save("./tokenizer.json")