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")# pip install -U transformers accelerate # 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
Download training_args.bin from ManojAlexender/roberta-base_MLM: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/ManojAlexender/roberta-base_MLM/resolve/main/training_args.bin
- Command line
-
hf download hf://ManojAlexender/roberta-base_MLM/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ManojAlexender/roberta-base_MLM/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 6d3f8d8057c3b2bd57112d46231b74889a59a61b4fcb6f40aada93a17614fc98
- Size of remote file:
- 4.98 kB
- SHA256:
- 8ab27f31f1b73307be260b23ea8c924a4ac6840e8c1306945b6ccc2d485947f4
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