Instructions to use SebastianS/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebastianS/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SebastianS/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SebastianS/dummy-model") model = AutoModelForMaskedLM.from_pretrained("SebastianS/dummy-model") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): b83af22
enhanced
Browse files
README.md
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# dummy
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with more content than ever
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---
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language: fr
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license: mit
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datasets:
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- oscar
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---
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# dummy
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this is only a dummy model originally based on RoBERT model
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## intended uses and limitations
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not intended to be used, same limitations as camembert-base model
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## how to use
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it cant be used (lol)
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## training data
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French subcorpus of the newly available multilingual corpus OSCAR
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## training procedure
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evaluated on multiple downstream tasks
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## variable and metrics
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not explicitly stated
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## evaluation metrics
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maybe OSCAR
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## evaluation results
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not explicitly stated
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