Instructions to use gcaillaut/geoloc-entity-linking-cross-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gcaillaut/geoloc-entity-linking-cross-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gcaillaut/geoloc-entity-linking-cross-encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gcaillaut/geoloc-entity-linking-cross-encoder") model = AutoModelForSequenceClassification.from_pretrained("gcaillaut/geoloc-entity-linking-cross-encoder") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:94c2e16c34ff8d59a214647e6b03f75fbe61f17d324ccafb3a886361e757a544
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size 215701060
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