How to use

model = AutoModelForTokenClassification.from_pretrained("hadiaskari98/Hardware_NER_prod")

nlp = pipeline("ner", model=model, tokenizer=tokenizer)

example = "GPU's are what power the modern AI revolution."

ner_results = nlp(example)
print(ner_results)

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Safetensors

Model size

333M params

Tensor type

F32

Inference Providers NEW

Token Classification

This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Model tree for hadiaskari98/Hardware_NER_prod

Base model

google-bert/bert-large-cased

Finetuned

(119)

this model