Text Classification
Transformers
Safetensors
English
deberta-v2
relation-extraction
scholarly
software-mentions
information-extraction
Eval Results (legacy)
text-embeddings-inference
Instructions to use psresearch/RE_scholarly_text_deberta_v3_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psresearch/RE_scholarly_text_deberta_v3_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="psresearch/RE_scholarly_text_deberta_v3_large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("psresearch/RE_scholarly_text_deberta_v3_large") model = AutoModel.from_pretrained("psresearch/RE_scholarly_text_deberta_v3_large") - Notebooks
- Google Colab
- Kaggle
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