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:
- a6adb4528740c13a2f4af11111ff154a8641bc6cff601c58876425fea255f0b8
- Size of remote file:
- 336 MB
- SHA256:
- 403450e234d65943a7dcf7e05a771ce3c92faa84dd07db4ac20f592037a1e4bd
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