Instructions to use nccratliri/whisperseg-animal-vad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nccratliri/whisperseg-animal-vad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nccratliri/whisperseg-animal-vad")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nccratliri/whisperseg-animal-vad") model = AutoModelForSpeechSeq2Seq.from_pretrained("nccratliri/whisperseg-animal-vad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nccratliri/whisperseg-animal-vad: direct link, hf CLI and curl.
- Browser
- Download file 6.17 GB
-
https://huggingface.co/nccratliri/whisperseg-animal-vad/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nccratliri/whisperseg-animal-vad/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nccratliri/whisperseg-animal-vad/resolve/main/pytorch_model.bin
6.17 GB
- Xet hash:
- ad8ec85105918fdfd9280bc68c67ccc762c86e78953d95bbbcb636e23c2fe01a
- Size of remote file:
- 6.17 GB
- SHA256:
- 6a0fd198090439b3f511a732075d9633ba99cab977aee2aa489d164b63f56c64
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