Instructions to use raphaelmerx/madlad400-10b-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelmerx/madlad400-10b-ct2 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="raphaelmerx/madlad400-10b-ct2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("raphaelmerx/madlad400-10b-ct2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload sentencepiece.model with huggingface_hub
Browse files- sentencepiece.model +3 -0
sentencepiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef11ac9a22c7503492f56d48dce53be20e339b63605983e9f27d2cd0e0f3922c
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size 4427844
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