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_00-35-53_d59bf5ee4806 /events.out.tfevents.1721954154.d59bf5ee4806.472.1
- Xet hash:
- 3eb2b91a9962e14131af29c355457afe5e3e2f050e02a92733cc60323148a124
- Size of remote file:
- 6.81 kB
- SHA256:
- e402586cc791540e739071ac379a6633040d67309539cc2aeefff4169dc72e9d
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