Instructions to use mlml-chip/sharpseed-termexists with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlml-chip/sharpseed-termexists with Transformers:
# Load model directly from transformers import CnlpModelForClassification model = CnlpModelForClassification.from_pretrained("mlml-chip/sharpseed-termexists", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa543d44502c61fa2fba73e26d9c61df271b9d05bc1a854487f415339f7a16c1
- Size of remote file:
- 501 MB
- SHA256:
- bf8917bb83e56202f1b1817b0d3511ecb02ce38b055b7d090a17777a5f522665
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