Instructions to use Multiperspective/bert-soft-hd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Multiperspective/bert-soft-hd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Multiperspective/bert-soft-hd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Multiperspective/bert-soft-hd") model = AutoModelForSequenceClassification.from_pretrained("Multiperspective/bert-soft-hd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bef1f0c5a054e46774246e196ee34f185f665894a3b3d4df7aed3682c46557ad
- Size of remote file:
- 1.34 GB
- SHA256:
- 1861ccd76c58013c48ef280bd24495bfb6463b5ec7d5372c0516922128820d80
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