Instructions to use julien-c/EsperBERTo-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use julien-c/EsperBERTo-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="julien-c/EsperBERTo-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("julien-c/EsperBERTo-small") model = AutoModelForMaskedLM.from_pretrained("julien-c/EsperBERTo-small") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 763b08d6bddd20fcea91b1e635df17b30d5076a2333969ce4f8ceb994f9a587a
- Size of remote file:
- 334 MB
- SHA256:
- 2dd87fc3a302eff8447ffe4fc2c60e1840bbbb7782319f7a2951c1eb74a433b3
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