Instructions to use bertin-project/bertin-roberta-base-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-roberta-base-spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bertin-project/bertin-roberta-base-spanish")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-roberta-base-spanish") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-roberta-base-spanish", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Add v2 files
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Gaussian 128
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Version 1.0 :fire:
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Model at 211k steps, mlm ac 0.6547
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Model at 210k steps, mlm acc 0.6537
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Model at 182k steps, mlm acc 0.6494
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Fix config for checkpoint
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New Flax model
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Base model at 105k steps
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Adding config and models for the hub widget
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Adding correct models 10k steps
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Epoch 1 Flax model
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