Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-None 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-None 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-None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-None") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-None") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6dff92704d87c870d27c52c776dea612c2a197fd8eb693a0da292daca2198f5
- Size of remote file:
- 438 MB
- SHA256:
- 9ed57eb05bc9638fd33d61ae84696810e6d98d423f40ce1836bd43832c61c95f
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