Instructions to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-bt 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-bt 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-bt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-bt") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-bt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dd52ec130af776eef498156db193769f26f4fdca59b259ec21a0ef7dff1503e
- Size of remote file:
- 438 MB
- SHA256:
- afaac539d5efb9daff95790ae4ff67014fb32dd04101568eebc7b6d9a2232ef3
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