language:
- en
license: apache-2.0
library_name: transformers
tags:
- multi-modal
- conversational
- speechllm
- speech2text
datasets:
- librispeech_asr
- mozilla-foundation/common_voice_16_1
- DynamicSuperb/EmotionalSpeechAudioClassification_RAVDESS-EmotionalSound
metrics:
- wer
Model Card for Model ID
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Language(s) (NLP): English
- License: Apache 2.0
- Finetuned from model [optional]: HubertX and TinyLlama
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How to Get Started with the Model
Use the code below to get started with the model.
# Load model directly from huggingface
from transformers import AutoModel
model = AutoModel.from_pretrained("shangeth/SpeechLLM", trust_remote_code=True)
model.generate_meta(
audio_path="path-to-audio.wav",
instruction="Give me the following information about the audio [SpeechActivity, Transcript, Gender, Emotion, Age, Accent]",
max_new_tokens=500,
return_special_tokens=False
)
# Model Generation
'''
{
"SpeechActivity" : "True",
"Transcript" : "Yes, I got it. I'll make the payment now.",
"Gender" : "Female",
"Emotion" : "Neutral",
"Age" : "Young",
"Accent" : "America",
}
'''
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: A100 80GB
- Hours used: [More Information Needed]
- Cloud Provider: E2E
- Compute Region: India
- Carbon Emitted: 1.73
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