Text Classification
Transformers
PyTorch
TensorFlow
English
distilbert
tensorflow
industry
buisiness
description
multi-class
classification
Instructions to use sampathkethineedi/industry-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sampathkethineedi/industry-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sampathkethineedi/industry-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sampathkethineedi/industry-classification") model = AutoModelForSequenceClassification.from_pretrained("sampathkethineedi/industry-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
Browse files- tf_model.h5 +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c31add4229044130b887969cd0c16bf6326afbe611d4e4aa61a01387a656f038
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size 268136832
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