Instructions to use CPMs/cpm.in.bert-base-uncased.approximate.seed66 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CPMs/cpm.in.bert-base-uncased.approximate.seed66 with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForFactualCounterfactualSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CPMs/cpm.in.bert-base-uncased.approximate.seed66") model = BertForFactualCounterfactualSequenceClassification.from_pretrained("CPMs/cpm.in.bert-base-uncased.approximate.seed66") - Notebooks
- Google Colab
- Kaggle
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