Instructions to use subhasisj/vi-adapter-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subhasisj/vi-adapter-32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="subhasisj/vi-adapter-32")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("subhasisj/vi-adapter-32") model = AutoModelForQuestionAnswering.from_pretrained("subhasisj/vi-adapter-32") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 1 year ago
by
SFconvertbot