Instructions to use princeton-nlp/AutoCompressor-1.3b-30k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use princeton-nlp/AutoCompressor-1.3b-30k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/AutoCompressor-1.3b-30k") model = AutoModel.from_pretrained("princeton-nlp/AutoCompressor-1.3b-30k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from princeton-nlp/AutoCompressor-1.3b-30k: direct link, hf CLI and curl.
- Browser
- Download file 5.68 GB
-
https://huggingface.co/princeton-nlp/AutoCompressor-1.3b-30k/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://princeton-nlp/AutoCompressor-1.3b-30k/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/princeton-nlp/AutoCompressor-1.3b-30k/resolve/main/pytorch_model.bin
5.68 GB
- Xet hash:
- 3c0ab71715dc5731b2db06451efcda54fc61e2a7889859a62ad8bd4a12dde876
- Size of remote file:
- 5.68 GB
- SHA256:
- fadc176f3fff0e221f502cf902b4a6d4b6fe6456120c470353a3c265a9893fcc
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