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:
- 85eba97175a0c758cdd0495e9fd474a72b86f5daddf495237633030e6235f804
- Size of remote file:
- 218 MB
- SHA256:
- 4fc551975b1ae23a9e5dcb470b432f1a4a47ee7a9a091f91239d9d2171a27a49
路
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