Instructions to use nyust-eb210/braslab-bert-drcd-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyust-eb210/braslab-bert-drcd-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nyust-eb210/braslab-bert-drcd-384")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nyust-eb210/braslab-bert-drcd-384") model = AutoModelForQuestionAnswering.from_pretrained("nyust-eb210/braslab-bert-drcd-384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83cb00000f291d86d175562987eb8dd97af90174b892c3a10dd6f7c05f8c5567
- Size of remote file:
- 407 MB
- SHA256:
- da8535c9aaca8f63edaa2757d16dc9ed69860a10649aab0fd621c39756be9bd2
路
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