Fill-Mask
Transformers
PyTorch
English
bart
text2text-generation
summarization
long context
custom_code
Instructions to use ccdv/lsg-bart-large-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccdv/lsg-bart-large-4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ccdv/lsg-bart-large-4096", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ccdv/lsg-bart-large-4096", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("ccdv/lsg-bart-large-4096", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32d0c37b1f0719465d53888e11308430b37c93bc8a43cf16275721a542a86cee
- Size of remote file:
- 1.65 GB
- SHA256:
- 86f8538f16568eff1180595e504962e7873692916d215c2fd8b846482ca3966e
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