Instructions to use hf-internal-testing/tiny-random-EncoderDecoderModel-bert-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-EncoderDecoderModel-bert-bert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-EncoderDecoderModel-bert-bert") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-EncoderDecoderModel-bert-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b31645a4b26b1ac79e1c4c2486a61c845b24f7ba001cd652b6ace454b43a03fa
- Size of remote file:
- 829 kB
- SHA256:
- 647c4f7b2e1c5387968d91bd6a66658bc586f3cd778725cd48126f3ba2261b21
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