Instructions to use vuiseng9/bert-base-uncased-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vuiseng9/bert-base-uncased-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="vuiseng9/bert-base-uncased-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vuiseng9/bert-base-uncased-squad") model = AutoModelForQuestionAnswering.from_pretrained("vuiseng9/bert-base-uncased-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
7cc1e88 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f48d2ec282a44502b9bbb4c4adb7b9c10f5b043629d24ab1e163d996ba7cbb18
size 435656113
|