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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6776d1e3ef0539a112fdb09d5981609def89efafe620a06ecb77fd410925463c
- Size of remote file:
- 41.4 MB
- SHA256:
- 7f644eccd40e9aa9da72dd645189f9be47512f7dd70e2d5af0cbd4a40dac49b3
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