Instructions to use edithram23/Redaction_personal_info with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edithram23/Redaction_personal_info with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edithram23/Redaction_personal_info")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edithram23/Redaction_personal_info") model = AutoModelForSequenceClassification.from_pretrained("edithram23/Redaction_personal_info") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("edithram23/Redaction_personal_info")
model = AutoModelForSequenceClassification.from_pretrained("edithram23/Redaction_personal_info")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edithram23/Redaction_personal_info")