Instructions to use caskcsg/cotmae_base_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caskcsg/cotmae_base_uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("caskcsg/cotmae_base_uncased") model = AutoModelForMaskedLM.from_pretrained("caskcsg/cotmae_base_uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5df626dd3a5a5a166c4343e06dd6ed12973a5f5ca0a723287974ae54548b9b5a
- Size of remote file:
- 438 MB
- SHA256:
- 7765d395ef3b7d08d6b66af55fa9dfcd0b9aa48025a6c4a51516ff3b6c858efe
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