Instructions to use antphb/pretrain-vit5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antphb/pretrain-vit5-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("antphb/pretrain-vit5-large") model = AutoModelForSeq2SeqLM.from_pretrained("antphb/pretrain-vit5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from antphb/pretrain-vit5-large: direct link, hf CLI and curl.
- Browser
- Download file 3.17 GB
-
https://huggingface.co/antphb/pretrain-vit5-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://antphb/pretrain-vit5-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/antphb/pretrain-vit5-large/resolve/main/pytorch_model.bin
3.17 GB
- Xet hash:
- 350ee91a3f048010455746c0a85ca836319cc2cc4f964ea04c89af54660eed29
- Size of remote file:
- 3.17 GB
- SHA256:
- f13cc5e4db4645218b26421d9bb742ba269f5b3f8ac08699e7bd1298c3d2f8ce
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