Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use jiiyy/bert_multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiiyy/bert_multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jiiyy/bert_multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jiiyy/bert_multilingual") model = AutoModelForSequenceClassification.from_pretrained("jiiyy/bert_multilingual") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2ebdfff21c340de02413cacdf8983cd3465c869394b4a1e4d78084411aea90b
- Size of remote file:
- 3.96 kB
- SHA256:
- 83ac3add94b1c61fa71658212abfe56b61ef9cabb5abb122aac2661dc5b055c4
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