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)# pip install -U transformers accelerate # 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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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small fix
4e228c3
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fix for transformers >= 4.35.2
d3bb078
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bos_token + readme
ce67d6a
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update for transformers >= 4.29.1
c8d82ff
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readme + version
c402117
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readme
c90fe49
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small fix with torch.finfo
dfd2c57
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readme
3d80002
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readme
e403ff3
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fix version 4.23
410c254
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replace -1e4 masks
28a19a8
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fix encoder decoder
1f400db
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add mask_first_token
5944198
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readme
5651a5c