Instructions to use Multiperspective/bert_multiregression_human_softloss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Multiperspective/bert_multiregression_human_softloss with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Multiperspective/bert_multiregression_human_softloss")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Multiperspective/bert_multiregression_human_softloss") model = AutoModelForSequenceClassification.from_pretrained("Multiperspective/bert_multiregression_human_softloss") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e28ed788e4f21a7fbedfe16ee851cae0919bfdc1073f0da70ee6348b207eeeb2
- Size of remote file:
- 1.34 GB
- SHA256:
- c728fe5a59741456729aed00dd88d8bce78bed6fe6ed730045ff9007d3039561
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