Question Answering
Transformers
PyTorch
TensorBoard
English
bert
multiple-choice
Generated from Trainer
Multiple Choice
Instructions to use DunnBC22/bert-base-uncased-e_CARE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/bert-base-uncased-e_CARE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DunnBC22/bert-base-uncased-e_CARE")# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("DunnBC22/bert-base-uncased-e_CARE") model = AutoModelForMultipleChoice.from_pretrained("DunnBC22/bert-base-uncased-e_CARE") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
Browse filesThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert
This new file is equivalent to `pytorch_model.bin` but safe in the sense that
no arbitrary code can be put into it.
These files also happen to load much faster than their pytorch counterpart:
https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb
The widgets on your model page will run using this model even if this is not merged
making sure the file actually works.
If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions
Feel free to ignore this PR.
- model.safetensors +3 -0
model.safetensors
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oid sha256:2dc58875199f7e8db11e5c8756b11bf9c9794210d2a3991416e05d242d7cddda
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size 437955572
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