Text Classification
Transformers
PyTorch
JAX
English
bert
industry tags
buisiness description
multi-label
classification
inference
Instructions to use sampathkethineedi/industry-classification-api with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sampathkethineedi/industry-classification-api with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sampathkethineedi/industry-classification-api")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sampathkethineedi/industry-classification-api") model = AutoModelForSequenceClassification.from_pretrained("sampathkethineedi/industry-classification-api") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d589aaeb68db751ced80d534e5340aea08d3607ea577117a493608e4d900e31d
- Size of remote file:
- 438 MB
- SHA256:
- 06e9c81bf52ff2c50240684d98bb2990e90a4c66b9f29d410718d678db1407ed
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