__init__.py

# coding=utf-8
# Copyright 2026 NAVER Cloud Corp. and the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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"""HyperCLOVAX package — imports configuration and model classes and
registers them with HuggingFace Auto classes.

Usage
-----
    from hf_4b import HyperCLOVAXConfig, HyperCLOVAXForCausalLM  # registers Auto classes

    from transformers import AutoTokenizer, AutoModelForCausalLM

    tokenizer = AutoTokenizer.from_pretrained("<checkpoint_dir>")
    model = AutoModelForCausalLM.from_pretrained("<checkpoint_dir>")
    inputs = tokenizer("안녕하세요!", return_tensors="pt")
    output = model.generate(**inputs, max_new_tokens=64)
    print(tokenizer.decode(output[0], skip_special_tokens=True))
"""

from .configuration_hyperclovax import HyperCLOVAXConfig  # noqa: F401 — registers AutoConfig
from .modeling_hyperclovax import (  # noqa: F401 — registers AutoModel classes
    HyperCLOVAXForCausalLM,
    HyperCLOVAXForQuestionAnswering,
    HyperCLOVAXForSequenceClassification,
    HyperCLOVAXForTokenClassification,
    HyperCLOVAXModel,
    HyperCLOVAXPreTrainedModel,
)

__all__ = [
    "HyperCLOVAXConfig",
    "HyperCLOVAXPreTrainedModel",
    "HyperCLOVAXModel",
    "HyperCLOVAXForCausalLM",
    "HyperCLOVAXForSequenceClassification",
    "HyperCLOVAXForQuestionAnswering",
    "HyperCLOVAXForTokenClassification",
]