Instructions to use ManojAlexender/roberta-base_MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManojAlexender/roberta-base_MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ManojAlexender/roberta-base_MLM", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ManojAlexender/roberta-base_MLM") model = AutoModelForMaskedLM.from_pretrained("ManojAlexender/roberta-base_MLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eddf69e420e849c6672a95aa1e288e93d79a9a5de7a0763f9eea1cd893511e18
- Size of remote file:
- 499 MB
- SHA256:
- fe9bfb747828563469a68737529323e6f8f792c510197d17a624a55114f9270f
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