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")# pip install -U transformers accelerate # 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
Download .gitattributes from sampathkethineedi/industry-classification: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
-
https://huggingface.co/sampathkethineedi/industry-classification/resolve/main/.gitattributes
- Command line
-
hf download hf://sampathkethineedi/industry-classification/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/sampathkethineedi/industry-classification/resolve/main/.gitattributes
345 Bytes
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