Instructions to use Buseak/model_TrainTestSplit_berturk_v2_24Feb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/model_TrainTestSplit_berturk_v2_24Feb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Buseak/model_TrainTestSplit_berturk_v2_24Feb")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Buseak/model_TrainTestSplit_berturk_v2_24Feb") model = AutoModelForTokenClassification.from_pretrained("Buseak/model_TrainTestSplit_berturk_v2_24Feb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4bb733db1c10d714db6a5ce2b2d633e76ee0493ae9d8a163bc30464f9405e77
- Size of remote file:
- 440 MB
- SHA256:
- e0c798333d800b10aaf8476a861f2adbbe5e30392121d2d4c38a1b93a3ede197
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