Instructions to use Buseak/model_from_berturk_Feb_5_TrainTestSplit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/model_from_berturk_Feb_5_TrainTestSplit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Buseak/model_from_berturk_Feb_5_TrainTestSplit")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Buseak/model_from_berturk_Feb_5_TrainTestSplit") model = AutoModelForTokenClassification.from_pretrained("Buseak/model_from_berturk_Feb_5_TrainTestSplit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4fb107fae1867b13fd3a11e32fd50702bf497e893251b8e88f8fb98d5e32974
- Size of remote file:
- 440 MB
- SHA256:
- 14f7e8c27a725828f6da44a9922754581b4d442f87ae6677fbc4659f0be36642
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