Instructions to use hf-internal-testing/tiny-random-MBartForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MBartForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MBartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-MBartForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c477ca77be78ac69444e425e9aaaa45a36b95a603fdd31f1a4df8531e445d318
- Size of remote file:
- 17.1 MB
- SHA256:
- 8e8a2a782e58d55f83d2f016adf5d31e635a872c6b13d5aad012d194af152170
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