Instructions to use hf-internal-testing/tiny-random-MBartModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MBartModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MBartModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MBartModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MBartModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e03d20f43c85c3a79edd60ed10687ba13f9ad4b171e2de38ce8c0897841796b
- Size of remote file:
- 16.1 MB
- SHA256:
- e68bd58d730fea7928aa121c905a3cdebc897141081e8e2713284ad1521625cb
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