Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm 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 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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbb484b8d2bc3363d9a0ce4580b957f10b47d0fcb2e57132a49ca6f8317de772
- Size of remote file:
- 3.39 kB
- SHA256:
- e52f5be911231c012fdcb646a0c5d5e98f4aff1013d78a6b246373ad962fa559
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