Instructions to use ybelkada/tiny-mobilebertmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ybelkada/tiny-mobilebertmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ybelkada/tiny-mobilebertmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("ybelkada/tiny-mobilebertmodel") model = AutoModelForMultimodalLM.from_pretrained("ybelkada/tiny-mobilebertmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfde79b178a618da7b7d28085bda5bbadd397b6ab88b5421a60433341ae54f1f
- Size of remote file:
- 19.2 MB
- SHA256:
- 1bd757355a6a663da78ee880cd9f38249408a6feb7242a1cb1513bff1e7f82fc
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