Instructions to use Jeska/BertjeWDialDataALLQonly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeska/BertjeWDialDataALLQonly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Jeska/BertjeWDialDataALLQonly")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Jeska/BertjeWDialDataALLQonly") model = AutoModelForMaskedLM.from_pretrained("Jeska/BertjeWDialDataALLQonly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Dec04_08-11-51_jbuhmann/events.out.tfevents.1638605539.jbuhmann.21053.0
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