初始化项目，由ModelHub XC社区提供模型

Model: Finnish-NLP/gpt2-finnish
Source: Original Platform

flax_model_to_pytorch.py

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+from transformers import AutoModelForCausalLM, FlaxAutoModelForCausalLM, AutoTokenizer
+import torch
+import numpy as np
+import jax
+import jax.numpy as jnp
+
+def to_f32(t):
+    return jax.tree_map(lambda x: x.astype(jnp.float32) if x.dtype == jnp.bfloat16 else x, t)
+
+jax.config.update('jax_platform_name', 'cpu')
+MODEL_PATH = "./"
+model = FlaxAutoModelForCausalLM.from_pretrained(MODEL_PATH)
+model.params = to_f32(model.params)
+model.save_pretrained(MODEL_PATH)
+
+pt_model = AutoModelForCausalLM.from_pretrained(
+    MODEL_PATH, from_flax=True).to('cpu')
+
+input_ids = np.asarray(2 * [128 * [0]], dtype=np.int32)
+input_ids_pt = torch.tensor(input_ids)
+
+logits_pt = pt_model(input_ids_pt).logits
+print(logits_pt)
+logits_fx = model(input_ids).logits
+print(logits_fx)
+
+pt_model.save_pretrained(MODEL_PATH)