Instructions to use TunahanGokcimen/ernie-2.0-base-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TunahanGokcimen/ernie-2.0-base-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TunahanGokcimen/ernie-2.0-base-en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TunahanGokcimen/ernie-2.0-base-en") model = AutoModelForTokenClassification.from_pretrained("TunahanGokcimen/ernie-2.0-base-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acc2e40e52926b5aa995283c0e3dfc7a84c5099c24e6c1f7ee9d9f30d3baf8f3
- Size of remote file:
- 4.6 kB
- SHA256:
- fe0439f6008314404b17b589eea872a3bbabe7c67e76c6bf4d41a95c2f6f0774
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