Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Yamei/tvcg_entity_classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yamei/tvcg_entity_classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yamei/tvcg_entity_classify")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yamei/tvcg_entity_classify") model = AutoModelForSequenceClassification.from_pretrained("Yamei/tvcg_entity_classify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
pytorch_model.bin
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runs/Jul25_02-14-25_41af954ac161/events.out.tfevents.1690251269.41af954ac161.25154.1
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