Text Classification
Transformers
PyTorch
TensorBoard
OpenVINO
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use jysh1023/bert_uncased_QAT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jysh1023/bert_uncased_QAT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jysh1023/bert_uncased_QAT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jysh1023/bert_uncased_QAT") model = AutoModelForSequenceClassification.from_pretrained("jysh1023/bert_uncased_QAT") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot