Instructions to use fcfrank10/deberta-cx-02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fcfrank10/deberta-cx-02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fcfrank10/deberta-cx-02")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fcfrank10/deberta-cx-02") model = AutoModelForTokenClassification.from_pretrained("fcfrank10/deberta-cx-02") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("fcfrank10/deberta-cx-02")
model = AutoModelForTokenClassification.from_pretrained("fcfrank10/deberta-cx-02")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fcfrank10/deberta-cx-02")