Instructions to use Chakita/Kalbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chakita/Kalbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Chakita/Kalbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Chakita/Kalbert") model = AutoModelForMaskedLM.from_pretrained("Chakita/Kalbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8366e88f02d2c6b811b08240de0a5adabf34fc5cf220fb2975a4307d78e28e45
- Size of remote file:
- 133 MB
- SHA256:
- 9399bb30a5990996287fc77003102164f85ef37718a11f93a40f722a5798bce8
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