Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm_revised 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-gm_revised 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-gm_revised")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm_revised") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm_revised") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ca9ca41b49615c18ae0682005a3104d40567621560339115f88b222e31ddcef
- Size of remote file:
- 3.39 kB
- SHA256:
- cfb26d15396aa47e37170f9ae865727ef1a120aa286cc01f9395c6fcfe8b4e9e
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