Text Classification
Transformers
TensorBoard
Safetensors
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use dendimaki/bert-finetuned-layers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dendimaki/bert-finetuned-layers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dendimaki/bert-finetuned-layers")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dendimaki/bert-finetuned-layers") model = AutoModelForSequenceClassification.from_pretrained("dendimaki/bert-finetuned-layers") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddf912cf55af5469019b8abc6b3444a1065f53d7a02aaad21ff4e354d81ee5cb
- Size of remote file:
- 4.6 kB
- SHA256:
- e26e4bf143a890db89ecc51e1023167e95c4a9c267d83fe206e4a767f818ef2e
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