Instructions to use Shadman-Rohan/output_diff_approach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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")# 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") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ed9c7a1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2f5b2c3567d1d874df1985c5b4ad4a51e1860dbeae221109ca473b79883ec64c
size 440159728
|