Instructions to use arnolfokam/mbert-base-uncased-kin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/mbert-base-uncased-kin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/mbert-base-uncased-kin")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/mbert-base-uncased-kin") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/mbert-base-uncased-kin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21345679aed2c03d73be015f70ec6412ffa981a257437c616b33240c81e90789
- Size of remote file:
- 1.46 kB
- SHA256:
- 8da9a5f396c760e4aa4299fd30781fd66221e7df28d6a7a6dba7d409b339a7b3
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