Instructions to use edithram23/T5-Redaction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edithram23/T5-Redaction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("edithram23/T5-Redaction") model = AutoModelForSeq2SeqLM.from_pretrained("edithram23/T5-Redaction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from edithram23/T5-Redaction: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/edithram23/T5-Redaction/resolve/main/training_args.bin
- Command line
-
hf download hf://edithram23/T5-Redaction/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/edithram23/T5-Redaction/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 5af364091e37b99dde65aa53e2ada2de33ace18a9e19af56cb9831fc56d425a2
- Size of remote file:
- 5.24 kB
- SHA256:
- 5b42bdfe1ad153c0f1cccfd4f6c3b6d499f36fbf8b23d55b56a38d055875f54b
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