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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 144dd71c6297e2595eda7c5a3f375af8454b2161b95585319a4e26de1156dbc6
- Size of remote file:
- 595 MB
- SHA256:
- 524f1bb45300d459b217e8d0f1c07aedbeacc56ad8a37ddf63dd52ecf116865b
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