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:
- 082f9864cf77e75e030f889bf4fe70d5ddbc6e5d74c1cd91f514752aaba47869
- Size of remote file:
- 436 MB
- SHA256:
- 4b66ac4544dbded02880866124e22a060339d57571d9471db9e8ef4c7d23f2d9
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