Instructions to use ml6team/robbert-dutch-base-toxic-comments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml6team/robbert-dutch-base-toxic-comments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ml6team/robbert-dutch-base-toxic-comments")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ml6team/robbert-dutch-base-toxic-comments") model = AutoModelForSequenceClassification.from_pretrained("ml6team/robbert-dutch-base-toxic-comments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ml6team/robbert-dutch-base-toxic-comments: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/ml6team/robbert-dutch-base-toxic-comments/resolve/main/training_args.bin
- Command line
-
hf download hf://ml6team/robbert-dutch-base-toxic-comments/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ml6team/robbert-dutch-base-toxic-comments/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 2b054c09bb628d7f278d2340263a0565d3829eaadeb38d506b7783d55f4c22ca
- Size of remote file:
- 2.99 kB
- SHA256:
- 6b44bb80081b9b0b786dde2935ecad29da3427e1109bb02c8953fd2899a1be62
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