Translation
Transformers
GGUF
JAX
text2text-generation
text-generation-inference
llama-cpp
gguf-my-repo
Instructions to use enacimie/madlad400-3b-mt-Q4_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enacimie/madlad400-3b-mt-Q4_K_M-GGUF 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="enacimie/madlad400-3b-mt-Q4_K_M-GGUF")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("enacimie/madlad400-3b-mt-Q4_K_M-GGUF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3827777a43b78ed04ec096464ed790e37efc39c4f7e703a1e891cf87ebb940e9
- Size of remote file:
- 1.86 GB
- SHA256:
- 7511792fa4f7f80c476fe23f703f0488f369c9bbeb6503b8186a0740c0daf008
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