Audio-Text-to-Text
Transformers
English
Chinese
transformer
multimodal
vqa
text
audio
Eval Results (legacy)
Instructions to use zeroMN/SHMT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeroMN/SHMT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zeroMN/SHMT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Direct Use
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```python
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model = AutoModelForSeq2SeqLM.from_pretrained("zeroMN/SHMT")
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tokenizer = AutoTokenizer.from_pretrained("zeroMN/SHMT")
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input_text = "Tell me a joke."
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inputs = tokenizer(input_text, return_tensors="pt")
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outputs = model.generate(**inputs)
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generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(generated_text)
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```
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### Downstream Use
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### Direct Use
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```python
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git clone https://huggingface.co/zeroMN/SHMT.git
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```
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### Downstream Use
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