Instructions to use AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E 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="AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/gradio_cpp_demo_0.png from AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E: direct link, hf CLI and curl.
- Browser
- Download file 395 kB
-
https://huggingface.co/AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E/resolve/main/assets/gradio_cpp_demo_0.png
- Command line
-
hf download hf://AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E/assets/gradio_cpp_demo_0.png
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curl -L -o gradio_cpp_demo_0.png https://huggingface.co/AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E/resolve/main/assets/gradio_cpp_demo_0.png
395 kB

- Xet hash:
- ad4505a0ee9ff1be142596cfbed174ad52ed475f293ddf7bc49594e1fe8c637a
- Size of remote file:
- 395 kB
- SHA256:
- eb7ee3f7a1ecc594a765d3e6620d58df15662a3bf649fafa129482cb0ae3efcd
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