Feature Extraction
Transformers
PyTorch
Safetensors
hubert
speech processing
self-supervision
african languages
🇪🇺 Region: EU
Instructions to use Orange/SSA-HuBERT-base-60k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Orange/SSA-HuBERT-base-60k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Orange/SSA-HuBERT-base-60k")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Orange/SSA-HuBERT-base-60k") model = AutoModel.from_pretrained("Orange/SSA-HuBERT-base-60k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
39d1b9d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5a0bab94d962f6267d4224c5d29c78d635f7679c201aa51264d586c26fbb8c0c
size 377555350
|