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
- Xet hash:
- 27ec38fcc0a57910dc0147920353afd5fc6bd63ca6dbb4456f01690ea07aa8c8
- Size of remote file:
- 433 MB
- SHA256:
- 99359ce7276c02644759e58b26dfeca9bb033893ec56369d01a70b7a7e75c883
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