How to use Shadman-Rohan/output_diff_approach with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Shadman-Rohan/output_diff_approach")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Shadman-Rohan/output_diff_approach") model = AutoModelForTokenClassification.from_pretrained("Shadman-Rohan/output_diff_approach", device_map="auto")
https://huggingface.co/Shadman-Rohan/output_diff_approach/resolve/1ea6a43e9522ea992d35d94fe89a8fe1c18f89d6/tokenizer.json
hf download hf://Shadman-Rohan/output_diff_approach@1ea6a43e9522ea992d35d94fe89a8fe1c18f89d6/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Shadman-Rohan/output_diff_approach/resolve/1ea6a43e9522ea992d35d94fe89a8fe1c18f89d6/tokenizer.json
