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:
- 859476984a6dbe39f44dc1cde23316c3c958718ea2982076656333c24617f479
- Size of remote file:
- 1.1 MB
- SHA256:
- ec3f254a18ed278eab71b612b70bae08d8662788248fb9820c384f3939d7025c
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