Instructions to use rizkyds/bert-phb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rizkyds/bert-phb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="rizkyds/bert-phb")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rizkyds/bert-phb") model = AutoModelForQuestionAnswering.from_pretrained("rizkyds/bert-phb") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0a555ee9a2b7bf9628c16fe01ccdfde9d1170615b1fb9a09e3f7b920c3d06d55
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size 3247
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