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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ce47f413392ec35c5da9823c465870402bce7e5c688481ef54f9fb310aa4e02
- Size of remote file:
- 878 kB
- SHA256:
- 7e368e47356e8fe3d7b08e4152f6b4a07f713a88c947a9a89400874850af613a
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