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 pytorch_model.bin from ml6team/robbert-dutch-base-toxic-comments: direct link, hf CLI and curl.
- Browser
- Download file 467 MB
-
https://huggingface.co/ml6team/robbert-dutch-base-toxic-comments/resolve/main/pytorch_model.bin
- Command line
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hf download hf://ml6team/robbert-dutch-base-toxic-comments/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/ml6team/robbert-dutch-base-toxic-comments/resolve/main/pytorch_model.bin
467 MB
- Xet hash:
- 7d102f772844ec3c350605ce4a839b5d6881d0e8f5fb30efb135e9982fc961b2
- Size of remote file:
- 467 MB
- SHA256:
- 0355d31ebf383df36d476633e5e4cd99f9da175fc28da8badece785b58ed5c07
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