Instructions to use Mozart-coder/BERT_full_data3-6_tokenized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mozart-coder/BERT_full_data3-6_tokenized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Mozart-coder/BERT_full_data3-6_tokenized")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Mozart-coder/BERT_full_data3-6_tokenized") model = AutoModelForMaskedLM.from_pretrained("Mozart-coder/BERT_full_data3-6_tokenized") - Notebooks
- Google Colab
- Kaggle
Commit ·
d2ef25f
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Parent(s): 8c5eddf
End of training
Browse files
pytorch_model.bin
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