Instructions to use BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-1") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-1: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-1/resolve/2ec52dd84b69e750af7e6f3e4375cde2fadc2eca/tokenizer.json
- Command line
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hf download hf://BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-1@2ec52dd84b69e750af7e6f3e4375cde2fadc2eca/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-1/resolve/2ec52dd84b69e750af7e6f3e4375cde2fadc2eca/tokenizer.json
711 kB
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