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:
- 6afab72fbdc4f82bee5e47eab60b563b59648e19557e776634ff2ca33413c34b
- Size of remote file:
- 3.52 kB
- SHA256:
- 0beb8b6222c2d115f806d34da5c368aebb72a9c847dbbc72bca0edbde9a99354
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