Instructions to use lowem1/cms-ext_albert-v2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lowem1/cms-ext_albert-v2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lowem1/cms-ext_albert-v2-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lowem1/cms-ext_albert-v2-base") model = AutoModel.from_pretrained("lowem1/cms-ext_albert-v2-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f57b0bbabf5165027aec75bf6587c894c57e066d0511df6b62feb0c7c540227
- Size of remote file:
- 17.6 MB
- SHA256:
- d4097404f1119c80f16666b9b36088b90ef70e84264691b78b1ee19ca8cf9fa9
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