Instructions to use edithram23/Redaction_Personal_info_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edithram23/Redaction_Personal_info_v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("edithram23/Redaction_Personal_info_v1") model = AutoModelForSeq2SeqLM.from_pretrained("edithram23/Redaction_Personal_info_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from edithram23/Redaction_Personal_info_v1: direct link, hf CLI and curl.
- Browser
- Download file 1.78 GB
-
https://huggingface.co/edithram23/Redaction_Personal_info_v1/resolve/main/optimizer.pt
- Command line
-
hf download hf://edithram23/Redaction_Personal_info_v1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/edithram23/Redaction_Personal_info_v1/resolve/main/optimizer.pt
1.78 GB
- Xet hash:
- 14a42e7ced6cf3e77924b1ea0cd68aef1f204dbe739efa531c5c68432dc3d61d
- Size of remote file:
- 1.78 GB
- SHA256:
- 114f344936d72a159551eb3f53f1b45cc87c57c3e0c2bd6d226ea287420e5769
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