Instructions to use kz-transformers/kaz-roberta-conversational with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kz-transformers/kaz-roberta-conversational with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kz-transformers/kaz-roberta-conversational")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kz-transformers/kaz-roberta-conversational", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fac53a265c9a81c539d26f313d7b6afd3f31951b013141f8889187b6d893e510
- Size of remote file:
- 334 MB
- SHA256:
- 97fb57e6652b7115633ae5e3b94c71faa20106031e95b29898a4430faa60bc8a
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