Instructions to use lgrobol/roberta-minuscule with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgrobol/roberta-minuscule with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lgrobol/roberta-minuscule")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lgrobol/roberta-minuscule") model = AutoModelForMaskedLM.from_pretrained("lgrobol/roberta-minuscule", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8d95bff30f9f140e47c528ab04fe374cf6495aa8bc755a377c1aae4e66a4353
- Size of remote file:
- 500 kB
- SHA256:
- 46a40267bf4654c1658205a017a72945c5a79f8f2201ac325f9b50dbcb76b616
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