---
library_name: transformers
language:
- en
metrics:
- wer
license: apache-2.0
datasets:
- librispeech_asr
- mozilla-foundation/common_voice_16_1
- DynamicSuperb/EmotionalSpeechAudioClassification_RAVDESS-EmotionalSound
tags:
- multi-modal
- conversational
- speechllm
- speech2text
---

# Model Card for Model ID

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## Model Details

### Model Description

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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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## Uses

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## How to Get Started with the Model

Use the code below to get started with the model.

```python
# 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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#### Summary



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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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