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ExecuteAutomation
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bert-base-text-classification-model

Text Classification
Transformers
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bert
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text-embeddings-inference
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="ExecuteAutomation/bert-base-text-classification-model")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("ExecuteAutomation/bert-base-text-classification-model")
model = AutoModelForSequenceClassification.from_pretrained("ExecuteAutomation/bert-base-text-classification-model")
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Bert-base-text-classification-model

This model is trained using Bert-base-uncased model as the based model which is helpful for Multi Text classification.

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Dataset used to train ExecuteAutomation/bert-base-text-classification-model