Instructions to use CPMs/cpm.in.roberta-base.approximate.seed77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CPMs/cpm.in.roberta-base.approximate.seed77 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForFactualCounterfactualSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CPMs/cpm.in.roberta-base.approximate.seed77") model = RobertaForFactualCounterfactualSequenceClassification.from_pretrained("CPMs/cpm.in.roberta-base.approximate.seed77", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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