Instructions to use Multiperspective/bert-human_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Multiperspective/bert-human_label with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Multiperspective/bert-human_label")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Multiperspective/bert-human_label") model = AutoModelForSequenceClassification.from_pretrained("Multiperspective/bert-human_label", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
Verified signaturef21dece -
Upload BertForSequenceClassification
Verified signatureef2d53f -
initial commit
Verified signature7f90ca3