Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use abigailp/vacc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abigailp/vacc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abigailp/vacc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abigailp/vacc") model = AutoModelForSequenceClassification.from_pretrained("abigailp/vacc") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Feb05_07-40-51_9ea6ea63d6d7
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- Feb08_07-13-55_66e3450b40a3
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- Feb08_11-23-01_29ef11286f81
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- Jan31_06-01-23_915d09dd7c0f
- Jan31_08-28-15_0cb757831e67
- Jan31_08-53-28_8aca78d3b6ae