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_02-55-18_1b1a04916f84 /events.out.tfevents.1722138157.1b1a04916f84.1141.1
- Xet hash:
- be3f85620c307a0f1fb765b6a63bf26bc627ea5ed8b619ab3e21bcc4f7edb171
- Size of remote file:
- 7.35 kB
- SHA256:
- 2f27b09d2d28e749bbe6917ca6da0355f35901438a5d4a165b87a6197055c903
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