Instructions to use BenjaminOcampo/task-implicit_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-implicit_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-implicit_task__model-bert__aug_method-None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-None") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-None") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fc41d10d269a6f7a468d738494150919449c28306644a172876d24bc1c9c4ca
- Size of remote file:
- 3.39 kB
- SHA256:
- 50c4ad2a8dffe69f5e3a5118c33f0ded20ec652563797efa4963ade9e8f0c199
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