Instructions to use hf-internal-testing/tiny-random-speech-encoder-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-speech-encoder-decoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-speech-encoder-decoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-speech-encoder-decoder") model = AutoModelForSpeechSeq2Seq.from_pretrained("hf-internal-testing/tiny-random-speech-encoder-decoder") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 6898fcd
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Browse files- config.json +1 -0
config.json
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"use_weighted_layer_sum": false,
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"vocab_size": 32
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},
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"is_encoder_decoder": true,
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"model_type": "speech-encoder-decoder",
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"tie_word_embeddings": false,
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"use_weighted_layer_sum": false,
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"vocab_size": 32
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},
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"decoder_start_token_id": 1,
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"is_encoder_decoder": true,
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"model_type": "speech-encoder-decoder",
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"tie_word_embeddings": false,
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