Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ultra-coder54732/roberta-base-prop-16-train-set with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ultra-coder54732/roberta-base-prop-16-train-set with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ultra-coder54732/roberta-base-prop-16-train-set")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ultra-coder54732/roberta-base-prop-16-train-set") model = AutoModelForSequenceClassification.from_pretrained("ultra-coder54732/roberta-base-prop-16-train-set") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jul06_01-35-52_799df071bccc
- Jul15_04-54-07_ca439cc2a75d
- Jul15_05-15-57_ca439cc2a75d
- Jul15_05-25-31_ca439cc2a75d
- Jul18_19-17-14_LAPTOP-S0NQ3I11
- Jul20_20-57-22_LAPTOP-S0NQ3I11
- Jul20_21-03-48_LAPTOP-S0NQ3I11
- Jul20_21-09-29_LAPTOP-S0NQ3I11
- Jul20_21-12-42_LAPTOP-S0NQ3I11
- Jul20_21-16-52_LAPTOP-S0NQ3I11
- Jul20_21-18-41_LAPTOP-S0NQ3I11