Text Classification
Transformers
TensorBoard
Safetensors
bert
HHD
10_class
multi_labels
Generated from Trainer
text-embeddings-inference
Instructions to use dusdn8455/bert_model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusdn8455/bert_model_out with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusdn8455/bert_model_out")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dusdn8455/bert_model_out") model = AutoModelForSequenceClassification.from_pretrained("dusdn8455/bert_model_out") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 536fa95fd2976e18592e19e149920b2512d8821cfb5d54e4864471d57265a1ae
- Size of remote file:
- 5.37 kB
- SHA256:
- bd4b1b0fde124bf184c7aa52217d8b4d9a0c62ef284784aea94f7d8be9ed49de
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