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_00-24-06_d59bf5ee4806 /events.out.tfevents.1721953455.d59bf5ee4806.472.0
- Xet hash:
- 79578c7ed96e93ad72348c04d0ce0632bc2c8746a8ec359b8c89d464e963d51e
- Size of remote file:
- 5.75 kB
- SHA256:
- 5c3c16b8b5c5b04417d7948486332ce94e7fb629cba2ee4d539ded6f3a168c5e
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