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:
- 895fa847f4aa2ccd92792f4cfa2da4f5b228be00375a90eea37b2271d7262a9c
- Size of remote file:
- 8.45 MB
- SHA256:
- 5fc7aba9b38db6d22d438418bc7a487b5f716828e33b267cc2856afd4c20faac
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