Text Classification
Transformers
TensorBoard
Safetensors
bert
HHD
10_class
multi_label
Generated from Trainer
text-embeddings-inference
Instructions to use YoonSuk9908/bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YoonSuk9908/bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YoonSuk9908/bert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YoonSuk9908/bert_model") model = AutoModelForSequenceClassification.from_pretrained("YoonSuk9908/bert_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba8d5a1f8362efb64a2eb50e810851ef1d777598c6aeec4e4f202f76b385c769
- Size of remote file:
- 5.3 kB
- SHA256:
- a2fe9b5c4a80bbac548f6824f2054fed1ed0d4f396b811e0f712cc6604b13759
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