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:
- efb0366a977e098c21ede07056aebc2867591d537b67cfa7cf5fe6fe8c06aae3
- Size of remote file:
- 8.45 MB
- SHA256:
- d4ed71a52a1bfac58cf264593bd76461497a0df74b12143b4d388257609090ee
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