Transformers
PyTorch
English
speech-to-text
conformer
embedded
edgeAI
ExecuTorch
audioprocessing
transformer
Arm
MCU
Instructions to use Arm/stt_en_conformer_executorch_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arm/stt_en_conformer_executorch_small with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Arm/stt_en_conformer_executorch_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download BigScience_OpenRAIL-M.pdf from Arm/stt_en_conformer_executorch_small: direct link, hf CLI and curl.
- Browser
- Download file 105 kB
-
https://huggingface.co/Arm/stt_en_conformer_executorch_small/resolve/refs%2Fpr%2F1/BigScience_OpenRAIL-M.pdf
- Command line
-
hf download hf://Arm/stt_en_conformer_executorch_small@refs/pr/1/BigScience_OpenRAIL-M.pdf
-
curl -L -o BigScience_OpenRAIL-M.pdf https://huggingface.co/Arm/stt_en_conformer_executorch_small/resolve/refs%2Fpr%2F1/BigScience_OpenRAIL-M.pdf
105 kB
- Xet hash:
- 0f2fff022bc77cbb478d8bf4b3cfd9e9d069fce7adf363daf16f7b47d72bca65
- Size of remote file:
- 105 kB
- SHA256:
- 4db909595010d4812aa587b54e4242348801be4fe459d9d34fa3a3570d8b0969
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