Transformers
TensorBoard
Safetensors
English
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use jrc-ai/PreDA-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jrc-ai/PreDA-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jrc-ai/PreDA-large") model = AutoModelForSeq2SeqLM.from_pretrained("jrc-ai/PreDA-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jrc-ai/PreDA-large: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/jrc-ai/PreDA-large/resolve/main/training_args.bin
- Command line
-
hf download hf://jrc-ai/PreDA-large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jrc-ai/PreDA-large/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 1e630d56b8eddac43dfe058f447045a669cb0c4c236e1f42dfe1d2121e512014
- Size of remote file:
- 5.37 kB
- SHA256:
- 0e6c0dcb4577c223eda93c660770aeb3bc5e9f6711b491206cf35ac546eae499
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