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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Chakita/Kalbert") model = AutoModelForMaskedLM.from_pretrained("Chakita/Kalbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2500
Browse files
pytorch_model.bin
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runs/Jan04_13-15-57_19415c40739a/events.out.tfevents.1672838169.19415c40739a.216.11
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