Translation
Transformers
Safetensors
plamo3
text-generation
multilingual
custom_code
plamo
w4afp8
int4
fp8
compressed-tensors
vllm
Instructions to use pfnet/plamo-3-translate-0.8b-W4AFP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pfnet/plamo-3-translate-0.8b-W4AFP8 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-0.8b-W4AFP8", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("pfnet/plamo-3-translate-0.8b-W4AFP8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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