Instructions to use edithram23/Redaction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edithram23/Redaction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("edithram23/Redaction") model = AutoModelForSeq2SeqLM.from_pretrained("edithram23/Redaction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from edithram23/Redaction: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/edithram23/Redaction/resolve/main/scheduler.pt
- Command line
-
hf download hf://edithram23/Redaction/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/edithram23/Redaction/resolve/main/scheduler.pt
1.06 kB
- Xet hash:
- 0a31882cd7d61bc27504b3e6e4aab723ec55cbd128c8de624f3cb4975560118c
- Size of remote file:
- 1.06 kB
- SHA256:
- eb4d22a760904b590f9392ca147847ab7aae2768b6cb6b31adf29bc3631c0e87
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