Instructions to use ArmelR/doremi-280m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArmelR/doremi-280m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ArmelR/doremi-280m")# Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("ArmelR/doremi-280m") model = AutoModelWithLMHead.from_pretrained("ArmelR/doremi-280m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca96ebdb2017d4cd15b3253482f19ef0d94a497f82d205fedd11f0ec6a95d7e8
- Size of remote file:
- 247 MB
- SHA256:
- cc2f9267629a7eda78991dee00fedbe6000eadc89bbe6c3aae0f05a7c674db0f
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