Text Classification
Transformers
PyTorch
Safetensors
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Jorgeutd/bert-base-uncased-finetuned-surveyclassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jorgeutd/bert-base-uncased-finetuned-surveyclassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jorgeutd/bert-base-uncased-finetuned-surveyclassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jorgeutd/bert-base-uncased-finetuned-surveyclassification") model = AutoModelForSequenceClassification.from_pretrained("Jorgeutd/bert-base-uncased-finetuned-surveyclassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Librarian Bot: Add base_model information to model (#2) df66bf9
Update README.md c004968
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update model card README.md d91711a
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End of training 38be977
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Training in progress, epoch 4 7356112
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Training in progress, epoch 3 7472092
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Training in progress, epoch 2 41901ca
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Training in progress, epoch 1 8cfd017
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