Instructions to use OkayestProgrammer/ChatQA-ModernBert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OkayestProgrammer/ChatQA-ModernBert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OkayestProgrammer/ChatQA-ModernBert-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OkayestProgrammer/ChatQA-ModernBert-base") model = AutoModel.from_pretrained("OkayestProgrammer/ChatQA-ModernBert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ffac08893b02296aa46f3f8e38f9f751920ab4e5dd850e02402b1b4bfacf0da
- Size of remote file:
- 596 MB
- SHA256:
- 8c761e7af3beaf7d974b4b5ce67986d2bc07a9faeeba55f4d8e1b0b3bc24f20b
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