Instructions to use KennethEnevoldsen/dfm-sentence-encoder-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KennethEnevoldsen/dfm-sentence-encoder-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KennethEnevoldsen/dfm-sentence-encoder-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("KennethEnevoldsen/dfm-sentence-encoder-large") model = AutoModel.from_pretrained("KennethEnevoldsen/dfm-sentence-encoder-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c713be4546e75657468090b7770928fbacf04fa65544407f5698ea3bbc70542
- Size of remote file:
- 2.11 kB
- SHA256:
- b2cad68d9a0d868c7ea6a4863816d042123ae496c3230c9185dbc9e80561e3a6
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