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 from transformers import pipeline pipe = pipeline("question-answering", model="nmb-paperspace-hf/bert-base-uncased-squad")# 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
- Xet hash:
- 94f65a51350fdcf95b6b0a1a98ca47131db133741219a4d15087318ee0e2f07c
- Size of remote file:
- 2.75 kB
- SHA256:
- 8f5284e2027410147597a8d1d8eeb6f112d2413fa30b85c22531ca7692d5b373
路
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