Instructions to use CLASS-MATE/BERT-MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLASS-MATE/BERT-MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CLASS-MATE/BERT-MLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CLASS-MATE/BERT-MLM") model = AutoModelForMaskedLM.from_pretrained("CLASS-MATE/BERT-MLM") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
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