Instructions to use voidful/bart-base-codec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/bart-base-codec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="voidful/bart-base-codec")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("voidful/bart-base-codec") model = AutoModel.from_pretrained("voidful/bart-base-codec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from voidful/bart-base-codec: direct link, hf CLI and curl.
- Browser
- Download file 586 MB
-
https://huggingface.co/voidful/bart-base-codec/resolve/main/model.safetensors
- Command line
-
hf download hf://voidful/bart-base-codec/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/voidful/bart-base-codec/resolve/main/model.safetensors
586 MB
- Xet hash:
- 33956f2c7624eaf6aa3b822fc6bcd190456a135ec1dd7552f06105bce5ac57ab
- Size of remote file:
- 586 MB
- SHA256:
- a4a34694657656114480059253ce3350afea3d4bba764889bb328f11cc3848b5
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