Instructions to use Kdogs/Capstone_IT_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kdogs/Capstone_IT_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Kdogs/Capstone_IT_BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Kdogs/Capstone_IT_BERT") model = AutoModelForQuestionAnswering.from_pretrained("Kdogs/Capstone_IT_BERT") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:c0da92d2579c5ff9d77a018dcb2b11930e62ecc09d2fe7de9da4d9589e29deaa
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size 440140696
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