Instructions to use BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-2 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-2 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-2")# 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-2") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-2: 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-2/resolve/dc5b8d328de55c4c7cbfe98dcfb8f5deeaa009a9/tokenizer.json
- Command line
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hf download hf://BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-2@dc5b8d328de55c4c7cbfe98dcfb8f5deeaa009a9/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-something__round-2/resolve/dc5b8d328de55c4c7cbfe98dcfb8f5deeaa009a9/tokenizer.json
711 kB
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