Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use singhshiva/my-bert-classifier2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use singhshiva/my-bert-classifier2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="singhshiva/my-bert-classifier2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("singhshiva/my-bert-classifier2") model = AutoModelForSequenceClassification.from_pretrained("singhshiva/my-bert-classifier2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 20
Browse files
model.safetensors
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