Fill-Mask
Transformers
PyTorch
English
bart
text2text-generation
summarization
long context
custom_code
Instructions to use ccdv/lsg-bart-base-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccdv/lsg-bart-base-4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ccdv/lsg-bart-base-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-base-4096", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("ccdv/lsg-bart-base-4096", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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small fix
ee90a60
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fix for transformers >= 4.35.2
976bb17
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bos_token + readme
7c3e908
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update for transformers >= 4.29.1
895c14a
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readme + version
43f517c
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readme
3a0e5eb
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small fix with torch.finfo
dbb8b42
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readme
7708c61
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readme
5c336c9
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fix for version 4.23
8f6a7bc
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replace 1e4 mask
b19ad10
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fix encoder decoder
5f9bbab
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add mask_first_token
5f1b925
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readme
98c7bce