Instructions to use nmb-paperspace-hf/bert-base-uncased-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nmb-paperspace-hf/bert-base-uncased-squad with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="nmb-paperspace-hf/bert-base-uncased-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nmb-paperspace-hf/bert-base-uncased-squad") model = AutoModelForQuestionAnswering.from_pretrained("nmb-paperspace-hf/bert-base-uncased-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
355cc37 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8f5284e2027410147597a8d1d8eeb6f112d2413fa30b85c22531ca7692d5b373
size 2747
|