Instructions to use gaodrew/deberta-pii-masking-augmented-test5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaodrew/deberta-pii-masking-augmented-test5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gaodrew/deberta-pii-masking-augmented-test5")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gaodrew/deberta-pii-masking-augmented-test5") model = AutoModelForTokenClassification.from_pretrained("gaodrew/deberta-pii-masking-augmented-test5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gaodrew/deberta-pii-masking-augmented-test5: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/gaodrew/deberta-pii-masking-augmented-test5/resolve/main/training_args.bin
- Command line
-
hf download hf://gaodrew/deberta-pii-masking-augmented-test5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gaodrew/deberta-pii-masking-augmented-test5/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 3f72b1959f8a3b65e2507380853f59fc1268b730bcf7352d733f2ec401e67ae2
- Size of remote file:
- 5.24 kB
- SHA256:
- 32851a7b4c5114936263b1909a89fcbb83143961814e9f566b7dca8020fa0668
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