Instructions to use cardiffnlp/roberta-base-topic-single with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/roberta-base-topic-single with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/roberta-base-topic-single")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/roberta-base-topic-single") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/roberta-base-topic-single", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 230 Bytes
3402722 | 1 | {"eval_loss": 0.4330822229385376, "eval_f1": 0.8818665091553456, "eval_f1_macro": 0.7359303318518903, "eval_accuracy": 0.8818665091553456, "eval_runtime": 9.8614, "eval_samples_per_second": 171.68, "eval_steps_per_second": 21.498} |