Text Classification
Transformers
TensorBoard
Safetensors
bert
HHD
10_class
multi_labels
Generated from Trainer
Instructions to use 888SH/bert_model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 888SH/bert_model_out with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="888SH/bert_model_out")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("888SH/bert_model_out") model = AutoModelForSequenceClassification.from_pretrained("888SH/bert_model_out", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3ed4823e162741c6d97e84fa887733292868f9a0985e6c803042e8a8998ebea
- Size of remote file:
- 5.37 kB
- SHA256:
- 0397fed04e34cf03961648cd488cb077268c3037eb38aa68b002e274ae6a5ca1
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