Instructions to use jaimin/bert-large-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/bert-large-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="jaimin/bert-large-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("jaimin/bert-large-squad") model = AutoModelForQuestionAnswering.from_pretrained("jaimin/bert-large-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
6aa8e8d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a40af10cc4e4bc0256f1a7671593a2390f9f98ce37704a09ff4e6365816934de
size 1340675298
|