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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("finding-fossils/metaextractor-spacy", dtype="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
- Xet hash:
- da9d35456071808d18c00901eabac44ba18fa526da38dc66ccb22583d0a74594
- Size of remote file:
- 502 MB
- SHA256:
- e267b8b2f890360032d0fcdd13c9aaa9f74e5534470e831d5b69b781d617fa0a
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