Instructions to use RyuKT/DefSentPlus-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyuKT/DefSentPlus-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RyuKT/DefSentPlus-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("RyuKT/DefSentPlus-bert-base-uncased") model = AutoModel.from_pretrained("RyuKT/DefSentPlus-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 013568741a4158347fee1fc20c7aeaa185f0f44c3bb6eae92b42b18e45880220
- Size of remote file:
- 438 MB
- SHA256:
- d11051854509159e0ec9ed1cfbf82eeaaa0bc9e7a950f938a01fe124d299b963
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