Instructions to use tyavika/LR1E5_BS32_Distilbert-QA-Pytorch-FULL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tyavika/LR1E5_BS32_Distilbert-QA-Pytorch-FULL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="tyavika/LR1E5_BS32_Distilbert-QA-Pytorch-FULL")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tyavika/LR1E5_BS32_Distilbert-QA-Pytorch-FULL") model = AutoModelForQuestionAnswering.from_pretrained("tyavika/LR1E5_BS32_Distilbert-QA-Pytorch-FULL") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot