Instructions to use hung200504/test-bert-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hung200504/test-bert-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hung200504/test-bert-3")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hung200504/test-bert-3") model = AutoModelForQuestionAnswering.from_pretrained("hung200504/test-bert-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f72f4c1b9b5871606ac9d2c2a5e05e54b6c97197856dd6c52bc597295cfb0993
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size 435596088
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