Instructions to use infgrad/puff-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use infgrad/puff-base-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("infgrad/puff-base-v1") model = AutoModel.from_pretrained("infgrad/puff-base-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from infgrad/puff-base-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.31 GB
-
https://huggingface.co/infgrad/puff-base-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://infgrad/puff-base-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/infgrad/puff-base-v1/resolve/main/pytorch_model.bin
1.31 GB
- Xet hash:
- bd3f974d4647b8fa54245abb6b8e6ffe1105f3e13e9ab275ab75644e795c3c23
- Size of remote file:
- 1.31 GB
- SHA256:
- 1effc90a86796dce4e1fb184b8e648c591b7c526aa2e9292adc7883ed4e53663
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