Instructions to use hf-internal-testing/tiny-random-UMT5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UMT5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-UMT5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-UMT5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 087f00b40bc7c20ebefd179e751843f0a0ad579e6a713b794abd4b6a6879cb5e
- Size of remote file:
- 33 MB
- SHA256:
- 2b5b2a607e8c5f9ddca9cb76cd1baa4fde4309e75a05040072ed89f924e6881c
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