Instructions to use dbmdz/convbert-base-turkish-mc4-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbmdz/convbert-base-turkish-mc4-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbmdz/convbert-base-turkish-mc4-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbmdz/convbert-base-turkish-mc4-uncased") model = AutoModelForMaskedLM.from_pretrained("dbmdz/convbert-base-turkish-mc4-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0054b9a3a5ab2e2cbcb4cd710152f10b4e0c6ed02848e66e4bcb246deecbc29d
- Size of remote file:
- 530 MB
- SHA256:
- a9e34ffbbc56cc78f2a6ea5eee1c9febe6ee15342e69e24f668143e1137f1211
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