Instructions to use lewtun/tiny-random-ibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lewtun/tiny-random-ibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lewtun/tiny-random-ibert")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("lewtun/tiny-random-ibert") model = AutoModelForMultimodalLM.from_pretrained("lewtun/tiny-random-ibert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fb4b88e9b6eee2e31615a27996d7a1269e9aae043191c297ef4120063047dba
- Size of remote file:
- 851 kB
- SHA256:
- ba6e67300b87d38bfc14250a936fb9eb1676141494d21bcef9722e9b5c2d01ab
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