Instructions to use satishsingh90/deepak_deberta_v3_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use satishsingh90/deepak_deberta_v3_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="satishsingh90/deepak_deberta_v3_base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("satishsingh90/deepak_deberta_v3_base") model = AutoModelForQuestionAnswering.from_pretrained("satishsingh90/deepak_deberta_v3_base") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("satishsingh90/deepak_deberta_v3_base")
model = AutoModelForQuestionAnswering.from_pretrained("satishsingh90/deepak_deberta_v3_base")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="satishsingh90/deepak_deberta_v3_base")