Instructions to use hajili/roberta-base-azerbaijani with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hajili/roberta-base-azerbaijani with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hajili/roberta-base-azerbaijani")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hajili/roberta-base-azerbaijani") model = AutoModelForMaskedLM.from_pretrained("hajili/roberta-base-azerbaijani", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e744fc0a2dce5b9f789d290a6312140c5bbe53ffc4e0aefe2db1358d72dce1c6
- Size of remote file:
- 5.05 kB
- SHA256:
- 66e01489edff9337ed004d542e7ad19c12a6aeaea86a3e22d5df9fc7eb5734b1
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