Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-aav with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-aav with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-subtle_task__model-bert__aug_method-aav")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-aav") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-aav", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea0d79248bb10e5ccbe9c982194f0318cebe6045ecc717f853e64a9be42195e0
- Size of remote file:
- 438 MB
- SHA256:
- a69d60d87207009d86d6383e8510e6a91a83b0c56eefddeacc4c1d0af98aa7a7
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