Instructions to use babylm-anon/CogMemLM-s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use babylm-anon/CogMemLM-s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="babylm-anon/CogMemLM-s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("babylm-anon/CogMemLM-s") model = AutoModelForMaskedLM.from_pretrained("babylm-anon/CogMemLM-s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 748453abe50ad2d1a184969f718eb5bc8e52b66af3bc7ceb4cf073763d013d5b
- Size of remote file:
- 471 MB
- SHA256:
- 00d9cde9132da47e45470bf4e356040ff457968c9679e93564378618a880b797
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