Instructions to use hf-internal-testing/tiny-random-PLBartForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PLBartForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PLBartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-PLBartForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff03761080fff0b7c5e142408ab7f650518091c709028299de154ad8fd88d89b
- Size of remote file:
- 3.45 MB
- SHA256:
- 7db834d534b3c5f6ccda5cbc6294d2cdf7ca4ad0a79b4f3aaea047f60ee99c28
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