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dslim-bert-base-NER-ov-fp32
helenai/dslim-bert-base-NER-ov-fp32
dslim-bert-base-NER-ov-fp32 is a token classification model from helenai. Use it when you need labels on individual words, such as names. It is set up for transformers.
This is the dslim/bert-base-NER model converted to OpenVINO, for accellerated inference.
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 11, 2023
- Updated
- Mar 11, 2023
- SHA
- 7251ebb2
Try a prompt
Model card
From the Hugging Face model README
dslim/bert-base-NER
This is the dslim/bert-base-NER model converted to OpenVINO, for accellerated inference.
An example of how to do inference on this model:
from optimum.intel.openvino import OVModelForTokenClassification
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/dslim-bert-base-NER-ov-fp32"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = OVModelForTokenClassification.from_pretrained(model_id)
pipe = pipeline("token-classification", model=model, tokenizer=tokenizer)
result = pipe("My name is Wolfgang and I live in Berlin")
print(result)
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Mar 11, 2023
- Updated
- Mar 11, 2023