Instructions to use rb05751/toxic_speech_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rb05751/toxic_speech_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rb05751/toxic_speech_detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rb05751/toxic_speech_detector") model = AutoModelForSequenceClassification.from_pretrained("rb05751/toxic_speech_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rb05751/toxic_speech_detector: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/rb05751/toxic_speech_detector/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://rb05751/toxic_speech_detector/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rb05751/toxic_speech_detector/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 4b024a2d68a70922020a198eedefac4e28e4fe48da6177232878eda19c4600a8
- Size of remote file:
- 499 MB
- SHA256:
- 082893aafd8cc6f6d57275faf0482b337c8a71dc149839fab868fbb16dc05de3
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