Instructions to use hf-tiny-model-private/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-tiny-model-private/tiny-random-EncoderDecoderModel-bert-bert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-EncoderDecoderModel-bert-bert") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-EncoderDecoderModel-bert-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7680442c140e20910eda533e799e7f20c882f4d2873efda52601eda48c0032f9
- Size of remote file:
- 878 kB
- SHA256:
- 6cb2ca6e3800a85b5143dc21e7524174b6644fd269e428baf0d4a933ce50cd5c
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