Instructions to use MSLars/corefbeta1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MSLars/corefbeta1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MSLars/corefbeta1") model = AutoModel.from_pretrained("MSLars/corefbeta1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6f4ed0e90ff9259f3917406db79dc80eb90f4d41ec9a8f9d1ffe3245933c277
- Size of remote file:
- 532 MB
- SHA256:
- 77ddab0fa51ebdcd854cd2b9094d40d3eb2d76895c3c24c835e4b29e433a839e
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