Text Classification
Transformers
PyTorch
Safetensors
English
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use NicholasSynovic/AutoTrain-LUC-COMP429-VEAA-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NicholasSynovic/AutoTrain-LUC-COMP429-VEAA-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NicholasSynovic/AutoTrain-LUC-COMP429-VEAA-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NicholasSynovic/AutoTrain-LUC-COMP429-VEAA-Classification") model = AutoModelForSequenceClassification.from_pretrained("NicholasSynovic/AutoTrain-LUC-COMP429-VEAA-Classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:69c07f0ca79158087a261025481687f375ec4c177b34b07577ba51e7be319647
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size 438095100
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