Instructions to use xihajun/20_bert_base_pruned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xihajun/20_bert_base_pruned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="xihajun/20_bert_base_pruned")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("xihajun/20_bert_base_pruned") model = AutoModelForQuestionAnswering.from_pretrained("xihajun/20_bert_base_pruned") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot