Instructions to use abishekcodes/pii_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abishekcodes/pii_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="abishekcodes/pii_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("abishekcodes/pii_model") model = AutoModelForTokenClassification.from_pretrained("abishekcodes/pii_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75e72097cb677de5ea5a49c439224382710e572875e3491efc058e44c0de2a4a
- Size of remote file:
- 5.78 kB
- SHA256:
- 28d03d71c9e486d68f232cb782058fa35dfc9b53e932200f52a9f695d8d51053
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