Instructions to use ppsingh/mpnet-multilabel-sector-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ppsingh/mpnet-multilabel-sector-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ppsingh/mpnet-multilabel-sector-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ppsingh/mpnet-multilabel-sector-classifier") model = AutoModelForSequenceClassification.from_pretrained("ppsingh/mpnet-multilabel-sector-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1a140cdcb561cef5eb2099849fb312d2ca8dc84fb3f8ca1121ba09aa35f88e8
- Size of remote file:
- 3.64 kB
- SHA256:
- fdd6376edefe8c58ea232496c8d54d74f85ab10cae4f0128b2aabd72fc2a69da
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