Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use xqchq/TextClassificationTHUCNews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xqchq/TextClassificationTHUCNews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xqchq/TextClassificationTHUCNews")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xqchq/TextClassificationTHUCNews") model = AutoModelForSequenceClassification.from_pretrained("xqchq/TextClassificationTHUCNews") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/May12_07-23-14_d18ac939067b/events.out.tfevents.1683876322.d18ac939067b.54646.0
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