Instructions to use SamJoshua/EsperBERTo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamJoshua/EsperBERTo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SamJoshua/EsperBERTo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SamJoshua/EsperBERTo") model = AutoModelForMaskedLM.from_pretrained("SamJoshua/EsperBERTo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 950a0567702ec51d3b65feb51eba0c07098ea2badc4d64ca1e61510c9c58eb0f
- Size of remote file:
- 5.11 kB
- SHA256:
- ff57da9fde7b884e48db14f0049fe53a5e93321ff3fc5de4894a45f0aa892541
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