Instructions to use hf-tiny-model-private/tiny-random-MBartModel 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-MBartModel 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-MBartModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MBartModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-MBartModel") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
5163c5b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d1c8b9486e4a64f105c4aaae943d8249ffced169d64ef46974b21b61b8a080d4
size 16150880
|