Instructions to use Buseak/model_TrainTestSplit_berturk_v3_24Feb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/model_TrainTestSplit_berturk_v3_24Feb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Buseak/model_TrainTestSplit_berturk_v3_24Feb")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Buseak/model_TrainTestSplit_berturk_v3_24Feb") model = AutoModelForTokenClassification.from_pretrained("Buseak/model_TrainTestSplit_berturk_v3_24Feb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de1ce7c49054d647994ecb5103ba3b1335f3ba9969bf3b91ee9f65ccc15f52f6
- Size of remote file:
- 440 MB
- SHA256:
- 5033a96f8f0426dbf145e0713f4f8233b76866f4d052ae62ff61bf24ee0e1c4b
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