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.1722135319.1b1a04916f84.1141.0
- Xet hash:
- 040f3e308594c020bb049d5bb2fad47bccdec32d62d0752027e02d0e683520cb
- Size of remote file:
- 9.83 kB
- SHA256:
- 7747cb7efc7f6bdfa0c0ebd1e68d2f74e6e5c4d71e1792e8bd808c7c171c9848
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