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 training_args.bin from rb05751/toxic_speech_detector: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/rb05751/toxic_speech_detector/resolve/main/training_args.bin
- Command line
-
hf download hf://rb05751/toxic_speech_detector/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rb05751/toxic_speech_detector/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- a3fbb546b8d7147a9eac292bf3252745ee9b409696d2c5f6bc809c7d9875e833
- Size of remote file:
- 4.09 kB
- SHA256:
- abe4caa54d667f0c6e882403dff4c1fc93109914a0a473e8a0f033ac8eea51ce
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