Instructions to use megagonlabs/bimeanvae-amzn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use megagonlabs/bimeanvae-amzn with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="megagonlabs/bimeanvae-amzn")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("megagonlabs/bimeanvae-amzn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from megagonlabs/bimeanvae-amzn: direct link, hf CLI and curl.
- Browser
- Download file 52.3 MB
-
https://huggingface.co/megagonlabs/bimeanvae-amzn/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://megagonlabs/bimeanvae-amzn/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/megagonlabs/bimeanvae-amzn/resolve/main/pytorch_model.bin
52.3 MB
- Xet hash:
- 14f9277f58230e7ba6c9c1a21fe0c6cd0a97a223f8e88f739db279d7f4292ef3
- Size of remote file:
- 52.3 MB
- SHA256:
- b5eeddd56c397c19bba9afd93bcee66f8dd8f55b699e959784bf491e74886d3a
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