Instructions to use chiranthans23/bert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chiranthans23/bert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="chiranthans23/bert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("chiranthans23/bert-base-cased") model = AutoModelForQuestionAnswering.from_pretrained("chiranthans23/bert-base-cased", 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 sha256:3fc878297cc1f1fef495dcefd78ca6b3595fb8253311c72f1f89415f1f2560f4
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size 430912392
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