Instructions to use hf-tiny-model-private/tiny-random-HubertModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-HubertModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-HubertModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-HubertModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-HubertModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
e94e0d5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c2d61423537e9afe1ac4374176d484f14aedd0954bc7f4dcb27e795f8bc291ea
size 131806
|