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:
- 8b9ba5eed1d00971dd27264806aaf727dd587c04eb688c661c471644afd9913e
- Size of remote file:
- 3.76 kB
- SHA256:
- 3c14b7555b5847a8ac77128e317fae0ee26ab3108596a7a2a70ed2d071c3e1b2
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