Instructions to use jeslev/bert-large-with-hierarchy-properties with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeslev/bert-large-with-hierarchy-properties with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jeslev/bert-large-with-hierarchy-properties")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jeslev/bert-large-with-hierarchy-properties") model = AutoModel.from_pretrained("jeslev/bert-large-with-hierarchy-properties") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76f17349265460230c91d6f78dd20e28197470dcaad9cbda5743114c861a7ec5
- Size of remote file:
- 1.33 GB
- SHA256:
- 566dc255398b9b57d08a9ef3236bae33550bd9bcd54e599d203ad30531a2c8cd
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