Instructions to use pfnet/plamo-3-translate-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pfnet/plamo-3-translate-8b with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" 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("translation", model="pfnet/plamo-3-translate-8b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("pfnet/plamo-3-translate-8b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download figures/benchmark_en.png from pfnet/plamo-3-translate-8b: direct link, hf CLI and curl.
- Browser
- Download file 579 kB
-
https://huggingface.co/pfnet/plamo-3-translate-8b/resolve/main/figures/benchmark_en.png
- Command line
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hf download hf://pfnet/plamo-3-translate-8b/figures/benchmark_en.png
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curl -L -o benchmark_en.png https://huggingface.co/pfnet/plamo-3-translate-8b/resolve/main/figures/benchmark_en.png
579 kB

- Xet hash:
- 7db887abd1270d69bb2425d51f8c2f647a7ce568e8279f8f51a6013fb99dfcab
- Size of remote file:
- 579 kB
- SHA256:
- 6c58fa2348a9f38e1fb6ec3b0f6a95e325ffa51a69c4fe996cc7f6fbaf0ba876
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