Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use wsqstar/bert-finetuned-weibo-luobokuaipao with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wsqstar/bert-finetuned-weibo-luobokuaipao with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wsqstar/bert-finetuned-weibo-luobokuaipao")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wsqstar/bert-finetuned-weibo-luobokuaipao") model = AutoModelForSequenceClassification.from_pretrained("wsqstar/bert-finetuned-weibo-luobokuaipao") - Notebooks
- Google Colab
- Kaggle
bert-finetuned-weibo-luobokuaipao / runs /Jul26_02-59-35_ac64ee777514 /events.out.tfevents.1721962786.ac64ee777514.267.0
- Xet hash:
- 1f967d5a63d67da797655803b9b6a270d15950e5ccae40edbe801a9876c63d54
- Size of remote file:
- 9.4 kB
- SHA256:
- 3e268e551bc4b1bb68e817a83fb5f7e777027e0ab78089dcf434b5e3d9d50453
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