Instructions to use hf-internal-testing/tiny-random-T5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-T5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-T5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-T5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb346d1a0fc0f6fde5ea93f1d6c3c3bf3de07012cb4ac08144ad61ae4c7f1467
- Size of remote file:
- 8.45 MB
- SHA256:
- cc1a88f0f9d66167f58f29852f8134dec3b1b533bc6cc40b43ae2e1f443853b9
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