Text Classification
Transformers
Safetensors
German
bert
science
ner
def_extraction
definitions
Eval Results (legacy)
text-embeddings-inference
Instructions to use samirmsallem/gbert-base-definition_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samirmsallem/gbert-base-definition_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="samirmsallem/gbert-base-definition_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("samirmsallem/gbert-base-definition_classification") model = AutoModelForSequenceClassification.from_pretrained("samirmsallem/gbert-base-definition_classification") - Notebooks
- Google Colab
- Kaggle
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