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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:647c4f7b2e1c5387968d91bd6a66658bc586f3cd778725cd48126f3ba2261b21
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size 829080
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