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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0152a2006540373821f583ab781349458e39968841343aa117472a766bf11e1
- Size of remote file:
- 1.11 kB
- SHA256:
- 7c8c5779315ec5cf8856ff4d9c312f215bf7f0a96ad9b21922d086d115a49b25
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