Instructions to use ModelTC/bert-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bert-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ModelTC/bert-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ModelTC/bert-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("ModelTC/bert-base-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 128 Bytes
df24e7f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:67302e3b96ddf900bdb46c7d677371afe566d2b582154e0b906760b678af5a9d
size 623
|