Instructions to use RyuKT/DefSentPlus-bert-large-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyuKT/DefSentPlus-bert-large-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RyuKT/DefSentPlus-bert-large-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("RyuKT/DefSentPlus-bert-large-uncased") model = AutoModel.from_pretrained("RyuKT/DefSentPlus-bert-large-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a524bc9dee57d0065434ce50249cb3c2878f932b39b86f3297fbba54f8d4bfa7
- Size of remote file:
- 1.34 GB
- SHA256:
- a74b98e07c35500e657ee8fdd3223f31da2fedb95f71f7c505c23e86defed524
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