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:
- 80dcab54d68b572166e41e9d616e0e982eb3b35d34752a1e49c8a5ce3c75d637
- Size of remote file:
- 438 MB
- SHA256:
- 611197c7d86b0791582dd2dcdc5be576b9ff9643822f5d9c693ceb73fcab0c0a
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