Instructions to use knowledge-computing/geolm-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledge-computing/geolm-base-cased with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("knowledge-computing/geolm-base-cased") model = AutoModel.from_pretrained("knowledge-computing/geolm-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f54fa905fad9773073029ff341a2deeac2dfc47786eea71d144a1432bf31f9e
- Size of remote file:
- 431 MB
- SHA256:
- 1c3c3e330376071d811e2e665a4e67854c7106e9716f70684aa7c69526ee3265
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