Instructions to use hf-internal-testing/tiny-random-ProphetNetForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ProphetNetForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ProphetNetForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-ProphetNetForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 734d91801694345082e5a8a613e18c798aafe332be91f3630c0d6da17f2f042e
- Size of remote file:
- 2.14 MB
- SHA256:
- 91559d3dc7f5bc4b847d568e39228d8e09918549b871a91abddff198ffc78583
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