Instructions to use ccdv/lsg-base-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccdv/lsg-base-4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ccdv/lsg-base-4096", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ccdv/lsg-base-4096", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("ccdv/lsg-base-4096", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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small fix
f1e304d
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fix for transformers >= 4.35.2
addc0a1
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bos_token + readme
94df028
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fix ignore_keys
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update for transformers >= 4.29.1
8c5c0a2
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readme + version
6deb69d
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readme
5acf65d
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small fix with torch.finfo
4edb1f9
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readme
8421b9c
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replace 1e4 mask
63ab0e0
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add mask_first_token
85fc5eb
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readme
ace95dc