Instructions to use ben-yu/roberta-base-finetuned-nlp-letters-s1_s2-none-class-weighted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ben-yu/roberta-base-finetuned-nlp-letters-s1_s2-none-class-weighted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ben-yu/roberta-base-finetuned-nlp-letters-s1_s2-none-class-weighted")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ben-yu/roberta-base-finetuned-nlp-letters-s1_s2-none-class-weighted") model = AutoModelForSequenceClassification.from_pretrained("ben-yu/roberta-base-finetuned-nlp-letters-s1_s2-none-class-weighted", device_map="auto") - Notebooks
- Google Colab
- Kaggle