Instructions to use hf-tiny-model-private/tiny-random-Speech2TextModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-Speech2TextModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-Speech2TextModel")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-Speech2TextModel") model = AutoModelForMultimodalLM.from_pretrained("hf-tiny-model-private/tiny-random-Speech2TextModel") - Notebooks
- Google Colab
- Kaggle
File size: 96 Bytes
83f9756 | 1 2 3 4 5 6 7 | {
"bos_token": "<s>",
"eos_token": "</s>",
"pad_token": "<pad>",
"unk_token": "<unk>"
}
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