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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44e802cd261f62eb5985970f65be3412dbbb24356e6e9b8b4ed81bd9d06482d5
- Size of remote file:
- 2.1 MB
- SHA256:
- 76ab71065f931b407f6ba484eae69203778c982efb4c9f9a01984c861a56b0fc
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