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)# 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
- Xet hash:
- c7b315e2405c47e448c3be46d45eb4c7f7bfdc8a2d717672cb8fdf324efeb3c9
- Size of remote file:
- 511 MB
- SHA256:
- 8ac305501eab14751e20048d44ab6fe047bb7a4fa113d4cec3bde753eb0309ff
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