Instructions to use Bachstelze/instructionBERTtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bachstelze/instructionBERTtest with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Bachstelze/instructionBERTtest") model = AutoModelForSeq2SeqLM.from_pretrained("Bachstelze/instructionBERTtest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- trained for 0.97 epochs
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- batch size of 14
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- 10000 warm-up steps
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- learning rate of 0.00005
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- trained for 0.97 epochs
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- batch size of 14
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- 10000 warm-up steps
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- learning rate of 0.00005
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## Purpose of instructionBERT
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InstructionBERT is intended for research purposes. The model-generated text should be treated as a starting point rather than a definitive solution for potential use cases. Users should be cautious when employing these models in their applications.
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