Instructions to use arampacha/roberta-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arampacha/roberta-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="arampacha/roberta-tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("arampacha/roberta-tiny") model = AutoModelForMaskedLM.from_pretrained("arampacha/roberta-tiny", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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Download README.md from arampacha/roberta-tiny: direct link, hf CLI and curl.
- Browser
- Download file 57 Bytes
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https://huggingface.co/arampacha/roberta-tiny/resolve/main/README.md
- Command line
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hf download hf://arampacha/roberta-tiny/README.md
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curl -L -o README.md https://huggingface.co/arampacha/roberta-tiny/resolve/main/README.md
57 Bytes
| # roberta-tiny | |
| Tiny untrained model for testing purposes |