Instructions to use echarlaix/tiny-random-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use echarlaix/tiny-random-t5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="echarlaix/tiny-random-t5")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("echarlaix/tiny-random-t5") model = AutoModel.from_pretrained("echarlaix/tiny-random-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:64903d619690e1626d6785687903bbe2acf6f1e56584590cb76ae2fd3902bbe8
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size 4465232
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