Instructions to use Multiperspective/bert-llm-noninstruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Multiperspective/bert-llm-noninstruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Multiperspective/bert-llm-noninstruct")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Multiperspective/bert-llm-noninstruct") model = AutoModelForSequenceClassification.from_pretrained("Multiperspective/bert-llm-noninstruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c89fcaeff8ac0ca39971c193e086b6096e9c51c63d9e8b50e81414fdd009b9c6
- Size of remote file:
- 1.34 GB
- SHA256:
- 2af718c74ace5a91d22ced608e3131c1f7c23d885b70813f10292e90fbc00740
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