Instructions to use mimi/test_KE-T5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mimi/test_KE-T5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mimi/test_KE-T5") model = AutoModelForSeq2SeqLM.from_pretrained("mimi/test_KE-T5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mimi/test_KE-T5: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/mimi/test_KE-T5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mimi/test_KE-T5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mimi/test_KE-T5/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- 68b6d0e141773e1dfab3329482de08e26bb77bd3190a03a82926306341f1831e
- Size of remote file:
- 990 MB
- SHA256:
- 967e4b9df5d3e2ebd19611ceca0e1895fcd04d2902f9d079af5157d45b070784
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