Instructions to use hoangphu7122002ai/ViT5_multitask_fcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoangphu7122002ai/ViT5_multitask_fcd with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hoangphu7122002ai/ViT5_multitask_fcd") model = AutoModelForSeq2SeqLM.from_pretrained("hoangphu7122002ai/ViT5_multitask_fcd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from hoangphu7122002ai/ViT5_multitask_fcd: direct link, hf CLI and curl.
- Browser
- Download file 820 kB
-
https://huggingface.co/hoangphu7122002ai/ViT5_multitask_fcd/resolve/main/spiece.model
- Command line
-
hf download hf://hoangphu7122002ai/ViT5_multitask_fcd/spiece.model
-
curl -L -o spiece.model https://huggingface.co/hoangphu7122002ai/ViT5_multitask_fcd/resolve/main/spiece.model
820 kB
- Xet hash:
- bb0d3d5a000bebd114c8f0a77a8cf86ed5c7f6a5f02fd93923b1b5addf2af1d0
- Size of remote file:
- 820 kB
- SHA256:
- 59986b62f9f0b90edafb9b073ea7b93d21114a5841219a1ea2399ade73f729c6
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