Update trainer.py

trainer.py

@@ -0,0 +1,40 @@
+from transformers import GPT2LMHeadModel, GPT2Tokenizer, TextDataset, DataCollatorForLanguageModeling, Trainer, TrainingArguments
+
+# Specify the model and tokenizer
+model_name = "gpt2"
+model = GPT2LMHeadModel.from_pretrained(model_name)
+tokenizer = GPT2Tokenizer.from_pretrained(model_name)
+
+# Create a dataset from your text file
+dataset = TextDataset(
+    tokenizer=tokenizer,
+    file_path="my_text_file.txt",
+    block_size=128,
+)
+
+# Create a data collator
+data_collator = DataCollatorForLanguageModeling(
+    tokenizer=tokenizer,
+    mlm=False,
+)
+
+# Specify the training arguments
+training_args = TrainingArguments(
+    output_dir="./results",
+    overwrite_output_dir=True,
+    num_train_epochs=3,
+    per_device_train_batch_size=1,
+    save_steps=10_000,
+    save_total_limit=2,
+)
+
+# Create a trainer
+trainer = Trainer(
+    model=model,
+    args=training_args,
+    data_collator=data_collator,
+    train_dataset=dataset,
+)
+
+# Train the model
+trainer.train()