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
ernie-2.0-base-en / runs /Jan28_20-38-41_e60506203a75 /events.out.tfevents.1706474327.e60506203a75.3449.0
- Xet hash:
- becb745dd3da7ecb78a7a05bc5f13c9772a0c792ed3c6ccf9b085f027348abe4
- Size of remote file:
- 5.82 kB
- SHA256:
- d233256c06e49c8f89423146ff2fae9080041f81e024738cbd95e8734f278e2c
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