Instructions to use laura63/wav2vec2-base-finetuned-ks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laura63/wav2vec2-base-finetuned-ks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="laura63/wav2vec2-base-finetuned-ks")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("laura63/wav2vec2-base-finetuned-ks") model = AutoModelForAudioClassification.from_pretrained("laura63/wav2vec2-base-finetuned-ks", device_map="auto") - Notebooks
- Google Colab
- Kaggle
wav2vec2-base-finetuned-ks / runs /Jun27_14-33-41_b2d20dff41f9 /events.out.tfevents.1687876537.b2d20dff41f9.1807.1
Download runs/Jun27_14-33-41_b2d20dff41f9/events.out.tfevents.1687876537.b2d20dff41f9.1807.1 from laura63/wav2vec2-base-finetuned-ks: direct link, hf CLI and curl.
- Browser
- Download file 4.18 kB
-
https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/main/runs/Jun27_14-33-41_b2d20dff41f9/events.out.tfevents.1687876537.b2d20dff41f9.1807.1
- Command line
-
hf download hf://laura63/wav2vec2-base-finetuned-ks/runs/Jun27_14-33-41_b2d20dff41f9/events.out.tfevents.1687876537.b2d20dff41f9.1807.1
-
curl -L -o events.out.tfevents.1687876537.b2d20dff41f9.1807.1 https://huggingface.co/laura63/wav2vec2-base-finetuned-ks/resolve/main/runs/Jun27_14-33-41_b2d20dff41f9/events.out.tfevents.1687876537.b2d20dff41f9.1807.1
4.18 kB
- Xet hash:
- 7786f146c01f366254115d9dc5815eda29597920130cbb30a9d44198b7c754af
- Size of remote file:
- 4.18 kB
- SHA256:
- 4b229ececf1f9b9e1967781e9d3c0d33fe02a0c9bc204f23bd6f2d6443c3b739
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