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:
- bd8ed7438bf3c509b3596f026abe5d5d4d2e541cf195340e1756d890f09f2bb6
- Size of remote file:
- 10.7 kB
- SHA256:
- 8c118b56c341737699286cd74a0caaedfd4ff4d16b800ed25e40339fc78a0629
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