Instructions to use arnolfokam/bert-base-uncased-kin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/bert-base-uncased-kin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/bert-base-uncased-kin")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/bert-base-uncased-kin") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/bert-base-uncased-kin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 171f69744829de25a62a7a5123ee7e67d38ecb3e3fd8ea43409dec9c4462036e
- Size of remote file:
- 431 MB
- SHA256:
- 2201644a00d5048f55aa9413210a4af1b92ef24f897431496161e2a7d24ce040
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