Instructions to use ksabeh/dbert-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksabeh/dbert-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ksabeh/dbert-finetuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ksabeh/dbert-finetuned") model = AutoModelForMaskedLM.from_pretrained("ksabeh/dbert-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 19500
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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