Instructions to use Mustang/BERT_responsible_AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mustang/BERT_responsible_AI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mustang/BERT_responsible_AI")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mustang/BERT_responsible_AI") model = AutoModelForSequenceClassification.from_pretrained("Mustang/BERT_responsible_AI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Mustang/BERT_responsible_AI: direct link, hf CLI and curl.
- Browser
- Download file 73 Bytes
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https://huggingface.co/Mustang/BERT_responsible_AI/resolve/main/README.md
- Command line
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hf download hf://Mustang/BERT_responsible_AI/README.md
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curl -L -o README.md https://huggingface.co/Mustang/BERT_responsible_AI/resolve/main/README.md
73 Bytes
| license: eupl-1.1 | |
| ## BERT model van het project Explainable AI |