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:
- df77da3cc8237424b4df33dca566e5b39f3bdbcd0454d94e7654097b2b42871d
- Size of remote file:
- 438 MB
- SHA256:
- 55087b81b6622cd0ddb311a24e53df5ed1e001e45f7b3bc6e88befd5b235fd7c
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