Instructions to use jjzha/jobspanbert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jjzha/jobspanbert-base-cased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jjzha/jobspanbert-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 644111476c087c08ae55e90de1f4bcab9fb1852fe74b365e4f8105869314441a
- Size of remote file:
- 539 MB
- SHA256:
- 8430a3f052faadfbaddbab5d6e7a7fcab8d2d53e02ce3fce8321a4cb54f3de04
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