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 /Jul28_01-23-29_db92fec4c661 /events.out.tfevents.1722129816.db92fec4c661.179.1
- Xet hash:
- 44e339aeb3522f2f26eb45beec47cd89c358e7f490b8c5fc7b191d6443ccaa73
- Size of remote file:
- 13.9 kB
- SHA256:
- 7977e9eb2fe11932589ebdb72d87d8df17c6b69b3171c1bc2eb1ad8ba88a2285
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