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 optimizer.pt from edithram23/T5-Redaction: direct link, hf CLI and curl.
- Browser
- Download file 1.78 GB
-
https://huggingface.co/edithram23/T5-Redaction/resolve/main/optimizer.pt
- Command line
-
hf download hf://edithram23/T5-Redaction/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/edithram23/T5-Redaction/resolve/main/optimizer.pt
1.78 GB
- Xet hash:
- abd6156c9c8a42af133f18bd96d49acd947935ca51cbaf2fa14bd5ea5bb1d60d
- Size of remote file:
- 1.78 GB
- SHA256:
- c8a75e1ac5d82aa34f9e1835094e4e9af1f29231a75b9976be90590eb55a2b85
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