Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-eda 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-eda 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-eda")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-eda") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-eda", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94291c061788515b334bedd2a2de0af2c605353351691bd84daf06f91da061cc
- Size of remote file:
- 3.39 kB
- SHA256:
- 5b64ed7ae59e3cb1e1aebfba9f2bbbcec8e3df93198b4b0f02ca577221624e7b
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