Instructions to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f54da98f3f41011dbc980afca4617c754becd0d0d7ebda26df91d9a1618c21b6
- Size of remote file:
- 438 MB
- SHA256:
- 63762327b48898fec9ff5802a77aa87fc9835bdeeb8936d7e5e2960f62054c4e
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