Instructions to use patrickvonplaten/t5-als with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/t5-als with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/t5-als") model = AutoModelForSeq2SeqLM.from_pretrained("patrickvonplaten/t5-als", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from patrickvonplaten/t5-als: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/patrickvonplaten/t5-als/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://patrickvonplaten/t5-als/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/patrickvonplaten/t5-als/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- 4e2659f06d3338cfea427a2fd38f42f0351d538589bdf362b7d6fd77766e3386
- Size of remote file:
- 242 MB
- SHA256:
- aade1e7eec78cac9109708054f7eb8d03bfe14bfb6d4aec22da066e9d88ca361
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