Instructions to use hf-tiny-model-private/tiny-random-ProphetNetForConditionalGeneration 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-ProphetNetForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ProphetNetForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-ProphetNetForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a86ec45e48848ea0d8f10bfbc9103f9275ca63c29145d17cf83d6900c1ff62e
- Size of remote file:
- 2.1 MB
- SHA256:
- e9adfd174df10050bc455f6d9b03ba071f06c8ae61d0c8d18d6f777cf920af25
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