Instructions to use hf-tiny-model-private/tiny-random-MBartForConditionalGeneration 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-MBartForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MBartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-MBartForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0ae8e386d2a849ce9a9efb11da570fd5ae98a0e9fc4e799cc09f037d626b82c
- Size of remote file:
- 17.1 MB
- SHA256:
- 8e1bea9d4e5d05ff5306f50111b6c483637dd7efaf7a2bb968fdf48556052115
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