Instructions to use hramphul/toxic-comments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hramphul/toxic-comments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hramphul/toxic-comments")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hramphul/toxic-comments") model = AutoModelForSequenceClassification.from_pretrained("hramphul/toxic-comments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56f204af61760ad6f991c2eafb384b6f4926b40f7cf7dddc661bed5df9eda4b6
- Size of remote file:
- 3.45 kB
- SHA256:
- 0b72599e71efee1428b4af66474599b920ab40d37cc965bb52984acf34deb367
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