Instructions to use CountingMstar/AI-Tutor-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CountingMstar/AI-Tutor-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="CountingMstar/AI-Tutor-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("CountingMstar/AI-Tutor-BERT") model = AutoModelForQuestionAnswering.from_pretrained("CountingMstar/AI-Tutor-BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit 路
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Parent(s): 4fadb3a
Update config.json
Browse files- config.json +1 -0
config.json
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{
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"architectures": [
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"BertForQuestionAnswering"
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],
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForQuestionAnswering"
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],
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