Text Classification
Transformers
Safetensors
Dutch
bert
BERTje
Filtering
Data Cleaning
text-embeddings-inference
Instructions to use Kalamazooter/DutchDatasetCleaner_Bertje with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kalamazooter/DutchDatasetCleaner_Bertje with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kalamazooter/DutchDatasetCleaner_Bertje")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kalamazooter/DutchDatasetCleaner_Bertje") model = AutoModelForSequenceClassification.from_pretrained("Kalamazooter/DutchDatasetCleaner_Bertje", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Kalamazooter/DutchDatasetCleaner_Bertje: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/Kalamazooter/DutchDatasetCleaner_Bertje/resolve/main/training_args.bin
- Command line
-
hf download hf://Kalamazooter/DutchDatasetCleaner_Bertje/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kalamazooter/DutchDatasetCleaner_Bertje/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- f29beb115e4d3eef1deb9910790da682d26462fd7dc49fbbb9187449d696e892
- Size of remote file:
- 4.66 kB
- SHA256:
- ef91728303e7ea98c841df02154e47949dc8d89bf7a29a1329da71198c3b4d3d
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