Spaces:
Runtime error
Runtime error
File size: 2,090 Bytes
0558aa4 |
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 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
# Copyright (c) 2025, NVIDIA CORPORATION. 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
# limitations under the License.
"""
This is an example script for validating multi-modal speech-to-text LLM using NeMo.
All SpeechLMs that has the three componnets (audio encoder, modality adapter and LLM) are supported.
Some example models are:
- SALM (https://arxiv.org/abs/2310.09424)
- VoiceTextBlender (https://arxiv.org/abs/2410.17485)
Example usage:
export WANDB_API_KEY=${WANDB} && \
export CUDA_VISIBLE_DEVICES="1" && \
export HF_TOKEN=${HFTOKEN} && \
export HF_HOME="/home/heh/.huggingface/" && \
export HF_HUB_CACHE="/media/data/cache" && \
export NEMO_MODELS_CACHE="/media/data/pretrained_models/" && \
python speech_to_text_llm_validate.py \
--config-path="/home/heh/github/NeMo-main/examples/speechlm/conf/salm" \
--config-name "salm_llama3.2-1b_fc_fc_peft" \
~data.train_ds \
data.validation_ds.manifest_filepath=$VAL_MANIFESTS \
data.train_ds.num_workers=$NUM_WORKERS \
data.validation_ds.num_workers=$NUM_WORKERS \
++data.validation_ds.name=$VAL_NAMES \
data.common.global_batch_size=$GLOBAL_BATCH \
data.common.micro_batch_size=$MICRO_BATCH \
++model.resume_from_path=<path to model checkpoint>
"""
from nemo.collections.speechlm.recipes import speech_to_text_llm_validate
from nemo.core.config import hydra_runner
@hydra_runner(config_path="./conf/salm", config_name="salm_llama3.2-1b_fc_fc_peft")
def main(cfg):
"""main function for running validation."""
return speech_to_text_llm_validate(cfg)
if __name__ == "__main__":
main()
|