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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43cb378f3c13a73d0529d604baa8b03b13b73d3f7bbaf985af166784554f3145
- Size of remote file:
- 471 MB
- SHA256:
- 5c8c36d6879dc6cc5ebb87ea0650fa49ebc74e502fc8e0d0a7755e56059d6b99
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