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