Text Classification
Transformers
ONNX
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use albertmartinez/bert-sdg-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albertmartinez/bert-sdg-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="albertmartinez/bert-sdg-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("albertmartinez/bert-sdg-classification") model = AutoModelForSequenceClassification.from_pretrained("albertmartinez/bert-sdg-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4424f1b82adce8640de7af826ea7be5058a0dcebf5d90b7737a08a3f8e318cd1
- Size of remote file:
- 5.43 kB
- SHA256:
- e24cc27a24de34d06e41f4fdf6f22955b8b1564a1ac6d2cc58a64e742e39512f
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