Instructions to use elozano/tweet_offensive_eval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elozano/tweet_offensive_eval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="elozano/tweet_offensive_eval")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("elozano/tweet_offensive_eval") model = AutoModelForSequenceClassification.from_pretrained("elozano/tweet_offensive_eval", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from elozano/tweet_offensive_eval: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
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https://huggingface.co/elozano/tweet_offensive_eval/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
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hf download hf://elozano/tweet_offensive_eval@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/elozano/tweet_offensive_eval/resolve/refs%2Fpr%2F2/tokenizer.json
1.36 MB
File too large to display, you can check the raw version instead.