Instructions to use Sakil/distilbert_lazylearner_hatespeech_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sakil/distilbert_lazylearner_hatespeech_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sakil/distilbert_lazylearner_hatespeech_detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sakil/distilbert_lazylearner_hatespeech_detection") model = AutoModelForSequenceClassification.from_pretrained("Sakil/distilbert_lazylearner_hatespeech_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Sakil/distilbert_lazylearner_hatespeech_detection: direct link, hf CLI and curl.
- Browser
- Download file 31 Bytes
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https://huggingface.co/Sakil/distilbert_lazylearner_hatespeech_detection/resolve/0ea039bfdd244de8dc15dad66f66fa2d6f7fac1b/README.md
- Command line
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hf download hf://Sakil/distilbert_lazylearner_hatespeech_detection@0ea039bfdd244de8dc15dad66f66fa2d6f7fac1b/README.md
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curl -L -o README.md https://huggingface.co/Sakil/distilbert_lazylearner_hatespeech_detection/resolve/0ea039bfdd244de8dc15dad66f66fa2d6f7fac1b/README.md
31 Bytes
metadata
license: apache-2.0