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bert-base-uncased-ov
helenai/bert-base-uncased-ov
bert-base-uncased-ov is a fill-mask model from helenai. Use it when you need the model to fill a missing word. It is set up for transformers.
This is the bert-base-uncased model converted to OpenVINO, for accellerated inference.
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 2, 2023
- Updated
- Feb 2, 2023
- SHA
- 4ff44e57
Try a prompt
Model card
From the Hugging Face model README
bert-base-uncased
This is the bert-base-uncased model converted to OpenVINO, for accellerated inference.
An example of how to do inference on this model:
from optimum.intel.openvino import OVModelForMaskedLM
from transformers import AutoTokenizer, pipeline
# model_id should be set to either a local directory or a model available on the HuggingFace hub.
model_id = "helenai/bert-base-uncased-ov-fp32"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = OVModelForMaskedLM.from_pretrained(model_id)
pipe = pipeline("fill-mask", model=model, tokenizer=tokenizer)
result = pipe("I am a [MASK] model")
print(result)
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Feb 2, 2023
- Updated
- Feb 2, 2023