Instructions to use hf-internal-testing/tiny-random-WavLMModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-WavLMModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-WavLMModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-WavLMModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-WavLMModel") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
bc19bc6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:27c6dcaeb7cc16d30b3d26b8550a58286ea090745a5f9ee5cc89b667489450cc
size 120248
|