Spaces:
Running
on
A100
Running
on
A100
File size: 1,364 Bytes
174ae06 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
# Copyright (c) 2025 NVIDIA CORPORATION.
# Licensed under the MIT license.
# Adapted from https://github.com/NVlabs/VILA/tree/main under the Apache 2.0 license.
# LICENSE is in incl_licenses directory.
# Copyright 2024 NVIDIA CORPORATION & AFFILIATES
#
# 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
# limitations under the License.
#
# SPDX-License-Identifier: Apache-2.0
# This file is modified from https://github.com/haotian-liu/LLaVA/
import torch
from transformers import WhisperProcessor, WhisperModel
from transformers import PretrainedConfig
from llava.model.multimodal_encoder.speech_encoder import SpeechTower
class WhisperSpeechTower(SpeechTower):
def __init__(self, model_name_or_path: str, config: PretrainedConfig):
super().__init__(model_name_or_path, config)
self.speech_tower = WhisperModel.from_pretrained(model_name_or_path)
self.is_loaded = True
|