Fill-Mask
Transformers
Safetensors
Spanish
Catalan
modernbert
tourism
spanish
valencian
encoder
bert
continual-pretraining
Instructions to use gplsi/Aitana-tourism-mb-encoder-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gplsi/Aitana-tourism-mb-encoder-1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gplsi/Aitana-tourism-mb-encoder-1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gplsi/Aitana-tourism-mb-encoder-1.0") model = AutoModelForMaskedLM.from_pretrained("gplsi/Aitana-tourism-mb-encoder-1.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09440b139a5765a8f6a01fd77891a1a50f7e3db959d15701084d755ae7e417d5
- Size of remote file:
- 1.23 GB
- SHA256:
- a5168d5c149116c68366a272fe8bbd645d120b3d0a3ec9d00e7f1575a5d074e3
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