Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use semindan/paws_x_m_bert_only_ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use semindan/paws_x_m_bert_only_ja with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="semindan/paws_x_m_bert_only_ja")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("semindan/paws_x_m_bert_only_ja") model = AutoModelForSequenceClassification.from_pretrained("semindan/paws_x_m_bert_only_ja", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86566c15239c3c2432bdc667a71875cd1917d0f52d2e51896434753bceb45c7c
- Size of remote file:
- 711 MB
- SHA256:
- 2f1299be5af23fcf46f13fd6e0acaf34104263858c74377d30000944f8ba0f97
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