Instructions to use Almoooo/hasa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Almoooo/hasa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Almoooo/hasa")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Almoooo/hasa") model = AutoModelForSpeechSeq2Seq.from_pretrained("Almoooo/hasa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload WhisperForConditionalGeneration
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "/
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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{
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"_name_or_path": "/root/.cache/huggingface/hub/models--Almoooo--hasa/snapshots/c6152f8bc58f2c2b599a9287f907241b0dee6d9c",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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