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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff7619ac974fc04580f6822629f35d55c5ebc66faade719a57221fe7e2430ac4
- Size of remote file:
- 1.39 kB
- SHA256:
- 1ad33555f9bceb0dce1d8528db2b2a9e86b15cfabf4036a54e8589430cf52b28
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