初始化项目，由ModelHub XC社区提供模型

Model: Norod78/distilgpt2-base-pretrained-he
Source: Original Platform

converters/convert2tf.py

@@ -0,0 +1,21 @@
+# Requires transformers >= 4.21.0;
+# Sampling outputs may differ, depending on your hardware.
+from transformers import AutoTokenizer, TFAutoModelForCausalLM
+
+model_checkpoint = "./distilgpt2-base-pretrained-he"
+save_directory = "tmp/tf/"
+file_name = "tf_model.h5"
+
+tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
+model = TFAutoModelForCausalLM.from_pretrained(model_checkpoint, from_pt=True)
+model.config.pad_token_id = model.config.eos_token_id
+inputs = tokenizer(["צחוקים ושיגועים"], return_tensors="tf")
+
+generated = model.generate(**inputs, do_sample=True, seed=(42, 0))
+print("Sampling output: ", tokenizer.decode(generated[0]))
+
+model.save_pretrained(save_directory, file_name=file_name)
+tokenizer.save_pretrained(save_directory)
+
+# > Sampling output: TensorFlow is a great learning platform for learning about
+# data structure and structure in data science..