Fill-Mask
Transformers
PyTorch
Catalan
longformer
catalan
masked-lm
longformer-base-4096-ca-v2
CaText
Catalan Textual Corpus
Instructions to use projecte-aina/longformer-base-4096-ca-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/longformer-base-4096-ca-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="projecte-aina/longformer-base-4096-ca-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("projecte-aina/longformer-base-4096-ca-v2") model = AutoModelForMaskedLM.from_pretrained("projecte-aina/longformer-base-4096-ca-v2") - Notebooks
- Google Colab
- Kaggle
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README.md
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### CLUB benchmark
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The **longformer-base-4096-ca-v2** model has been fine-tuned on the downstream tasks of the Catalan Language Understanding Evaluation benchmark (CLUB),
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that has been created along with the model.
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It contains the following tasks and their related datasets:
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### CLUB benchmark
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The **longformer-base-4096-ca-v2** model has been fine-tuned on the downstream tasks of the [Catalan Language Understanding Evaluation benchmark](https://club.aina.bsc.es/) (CLUB),
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that has been created along with the model.
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It contains the following tasks and their related datasets:
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