Instructions to use research-dump/no_overlap_no_edit_chew_roberta-base_change_nochange_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-dump/no_overlap_no_edit_chew_roberta-base_change_nochange_random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="research-dump/no_overlap_no_edit_chew_roberta-base_change_nochange_random")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/no_overlap_no_edit_chew_roberta-base_change_nochange_random") model = AutoModelForSequenceClassification.from_pretrained("research-dump/no_overlap_no_edit_chew_roberta-base_change_nochange_random", device_map="auto") - Notebooks
- Google Colab
- Kaggle