Instructions to use BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-rsa 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-rsa 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-rsa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-rsa") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-rsa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27a9b35dc07baf44d52b02b4614625abc564a57e0f7c6be4e1c04943ed53a73d
- Size of remote file:
- 438 MB
- SHA256:
- 6753abb3c5dc2c0d6d404be0b27b754f944435753f8542e7b1c309f28ab98fb2
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