Instructions to use finding-fossils/metaextractor-spacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use finding-fossils/metaextractor-spacy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="finding-fossils/metaextractor-spacy")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("finding-fossils/metaextractor-spacy", device_map="auto") - spaCy
How to use finding-fossils/metaextractor-spacy with spaCy:
!pip install https://huggingface.co/finding-fossils/metaextractor-spacy/resolve/main/metaextractor-spacy-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("metaextractor-spacy") # Importing as module. import metaextractor-spacy nlp = metaextractor-spacy.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from finding-fossils/metaextractor-spacy: direct link, hf CLI and curl.
- Browser
- Download file 245 kB
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https://huggingface.co/finding-fossils/metaextractor-spacy/resolve/main/ner/model
- Command line
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hf download hf://finding-fossils/metaextractor-spacy/ner/model
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curl -L -o model https://huggingface.co/finding-fossils/metaextractor-spacy/resolve/main/ner/model
245 kB
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