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
- Xet hash:
- 773f10dbf23bf9635890f9dabc62bc69e04439f561e5fa3ec733b2db3af8a14b
- Size of remote file:
- 268 MB
- SHA256:
- 1eec75294d378e218785fbb0f764c91e07241f6c98b6ac5ccfdb2d98c670dc46
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