Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use asparius/bert-fine-grained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asparius/bert-fine-grained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asparius/bert-fine-grained")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asparius/bert-fine-grained") model = AutoModelForSequenceClassification.from_pretrained("asparius/bert-fine-grained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/Oct12_19-38-40_ai14.kuacc.ku.edu.tr/events.out.tfevents.1665592733.ai14.kuacc.ku.edu.tr.149060.0
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