Instructions to use Bachstelze/instructionBERTtest-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bachstelze/instructionBERTtest-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Bachstelze/instructionBERTtest-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Bachstelze/instructionBERTtest-encoder") model = AutoModel.from_pretrained("Bachstelze/instructionBERTtest-encoder") - Notebooks
- Google Colab
- Kaggle
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license: mit
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pipeline_tag: fill-mask
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This is the tied encoder and decoder of the test [instructionBERT](https://huggingface.co/Bachstelze/instructionBERTtest) as standalone encoder.
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license: mit
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---
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This is the tied encoder and decoder of the test [instructionBERT](https://huggingface.co/Bachstelze/instructionBERTtest) as standalone encoder.
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