Instructions to use djsull/aha-sent-similiar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djsull/aha-sent-similiar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="djsull/aha-sent-similiar")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("djsull/aha-sent-similiar") model = AutoModel.from_pretrained("djsull/aha-sent-similiar") - Notebooks
- Google Colab
- Kaggle
Create new file
Browse files
config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.1.0",
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"transformers": "4.13.0",
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"pytorch": "1.7.0+cu110"
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}
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}
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