Feature Extraction
Transformers
PyTorch
English
distilled_speech
speech
audio
data2vec
distillation
custom_code
Instructions to use TuKoResearch/AuriStreamDistillLarge_100M40PredTeacher_bad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TuKoResearch/AuriStreamDistillLarge_100M40PredTeacher_bad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TuKoResearch/AuriStreamDistillLarge_100M40PredTeacher_bad", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TuKoResearch/AuriStreamDistillLarge_100M40PredTeacher_bad", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:7bdb76931c40f3056f69763420b8e58a7569585896e6e3a4851dc599a619d448
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size 1228223240
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