Feature Extraction
Transformers
PyTorch
English
distilled_speech
speech
audio
data2vec
distillation
custom_code
Instructions to use TuKoResearch/AuriStreamDistill_100M40PredTeacher_librispeech960 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TuKoResearch/AuriStreamDistill_100M40PredTeacher_librispeech960 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TuKoResearch/AuriStreamDistill_100M40PredTeacher_librispeech960", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TuKoResearch/AuriStreamDistill_100M40PredTeacher_librispeech960", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#5 opened 4 months ago
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Adding `safetensors` variant of this model
#4 opened 4 months ago
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Adding `safetensors` variant of this model
#3 opened 4 months ago
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Adding `safetensors` variant of this model
#2 opened 4 months ago
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Adding `safetensors` variant of this model
#1 opened 4 months ago
by
SFconvertbot