Instructions to use dbmdz/electra-base-turkish-mc4-uncased-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbmdz/electra-base-turkish-mc4-uncased-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbmdz/electra-base-turkish-mc4-uncased-generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbmdz/electra-base-turkish-mc4-uncased-generator") model = AutoModelForMaskedLM.from_pretrained("dbmdz/electra-base-turkish-mc4-uncased-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a16d4ec76d434310f8d38e8bf295c0f3b80bf1df69362a49508af9fc98e103b
- Size of remote file:
- 140 MB
- SHA256:
- 97070e5a79f1d1069bab2a3fa0fdab9285caeee633b4273e5d158cf82ff27187
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