Instructions to use hf-tiny-model-private/tiny-random-IBertModel 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-IBertModel 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-IBertModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-IBertModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-IBertModel") - Notebooks
- Google Colab
- Kaggle