Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use clips/robbert-2023-dutch-base-gender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clips/robbert-2023-dutch-base-gender with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="clips/robbert-2023-dutch-base-gender")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("clips/robbert-2023-dutch-base-gender") model = AutoModelForSequenceClassification.from_pretrained("clips/robbert-2023-dutch-base-gender", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 004d92b5c9d606f908a7c43b7d13988c22ab1043abc47d16aaf348f7e14efd61
- Size of remote file:
- 4.86 kB
- SHA256:
- 4fa67f1b6275897851da077b203af9143e2d9b7f4344e12a50f455a88ba55a82
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