Instructions to use jrc-ai/PreDA-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jrc-ai/PreDA-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jrc-ai/PreDA-base") model = AutoModelForSeq2SeqLM.from_pretrained("jrc-ai/PreDA-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jrc-ai/PreDA-base: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/jrc-ai/PreDA-base/resolve/main/training_args.bin
- Command line
-
hf download hf://jrc-ai/PreDA-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jrc-ai/PreDA-base/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 705fc7ca8dccfc060a1d6470d5386c250dfcc846f736726a8e67f978978db863
- Size of remote file:
- 5.3 kB
- SHA256:
- bdfee2653c55ba1297bd503f2887f86d88f5636f9e17d26ad21fa187361b58f5
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