Instructions to use E-MIMIC/inclusively-reformulation-it5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use E-MIMIC/inclusively-reformulation-it5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("E-MIMIC/inclusively-reformulation-it5") model = AutoModelForSeq2SeqLM.from_pretrained("E-MIMIC/inclusively-reformulation-it5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from E-MIMIC/inclusively-reformulation-it5: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/E-MIMIC/inclusively-reformulation-it5/resolve/main/training_args.bin
- Command line
-
hf download hf://E-MIMIC/inclusively-reformulation-it5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/E-MIMIC/inclusively-reformulation-it5/resolve/main/training_args.bin
3.12 kB
- Xet hash:
- 47a6868bf9146abd50287ed44a9fab95305067cd185fca18c388f6a588d951ea
- Size of remote file:
- 3.12 kB
- SHA256:
- 5f014ea305698c947b40f04c56d2ae31cb9991d3837ee165a5d4de08c5178fc1
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