Instructions to use amishshah/imbalanced_model_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amishshah/imbalanced_model_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amishshah/imbalanced_model_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amishshah/imbalanced_model_0") model = AutoModelForSequenceClassification.from_pretrained("amishshah/imbalanced_model_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0617f40ddc0fac4c687cdbdafd4bd63d5ed88af3000be3fa4c1dfe5d0098678
- Size of remote file:
- 3.58 kB
- SHA256:
- 91d3577990135aa289c2c8cf1378c5953c8aca5eef26dbf712614df03d98aece
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