Instructions to use navin-kumar/speech-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use navin-kumar/speech-test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("navin-kumar/speech-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download embedding_model.ckpt from navin-kumar/speech-test: direct link, hf CLI and curl.
- Browser
- Download file 83.3 MB
-
https://huggingface.co/navin-kumar/speech-test/resolve/main/embedding_model.ckpt
- Command line
-
hf download hf://navin-kumar/speech-test/embedding_model.ckpt
-
curl -L -o embedding_model.ckpt https://huggingface.co/navin-kumar/speech-test/resolve/main/embedding_model.ckpt
83.3 MB
- Xet hash:
- 90045440ec497edb85797d3d8a2c3ded7b6cc8752093019e98a33d973cb68150
- Size of remote file:
- 83.3 MB
- SHA256:
- c1c679f2c39577d7a1fca6fb0ded5fc19a3421b0c51d483e817f8c85f4c8e60f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.