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
# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM
tokenizer = AutoTokenizer.from_pretrained("lewtun/tiny-random-ibert")
model = AutoModelForMultimodalLM.from_pretrained("lewtun/tiny-random-ibert")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lewtun/tiny-random-ibert")