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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:839ba8d31dea377fa7a9b749227a820989d95fc528186622fc5ae96ec251140d
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size 594902960
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