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:
- ed42b7435aecb43539967b3bfa09f589c78e7f65583d6c38c1bbce7dab95ed13
- Size of remote file:
- 17.1 MB
- SHA256:
- f18d91af967848aa9018f269edc92d0453baacc0cb205d2b29af1d34500967eb
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