Instructions to use RyuKT/DefSentPlus-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyuKT/DefSentPlus-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RyuKT/DefSentPlus-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("RyuKT/DefSentPlus-roberta-large") model = AutoModel.from_pretrained("RyuKT/DefSentPlus-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcc5df9ed6b98111c42286051f2328215c083a654497e42c6ddd13b885e49b38
- Size of remote file:
- 1.42 GB
- SHA256:
- 4feb90dce27d3733cba3a3129cf29b4038c21eba24cab439c674becaec3e14eb
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