Instructions to use MaagDeveloper/rust_python_roberta_base_mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaagDeveloper/rust_python_roberta_base_mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MaagDeveloper/rust_python_roberta_base_mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MaagDeveloper/rust_python_roberta_base_mlm") model = AutoModelForMaskedLM.from_pretrained("MaagDeveloper/rust_python_roberta_base_mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1923bea9ae7a60ccf98e256a6a9281e7d80c23c0ecf72239a130583ae9029e80
- Size of remote file:
- 32.4 MB
- SHA256:
- 96a6b72a6a6a0f4c8aeb60478d164f7a161b78bb9557df6bbf56f1ef79a3fb12
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