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
tokenizer: add config (no accent stripping) and vocab
Browse files- tokenizer_config.json +1 -0
- vocab.txt +0 -0
tokenizer_config.json
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{"do_lower_case": true, "max_len": 512, "init_inputs": [], "strip_accents":false}
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vocab.txt
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