Instructions to use zenoverflow/madlad400-3b-mt-int8-float32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zenoverflow/madlad400-3b-mt-int8-float32 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="zenoverflow/madlad400-3b-mt-int8-float32")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zenoverflow/madlad400-3b-mt-int8-float32", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee68a6bb6aadc9bd2c8879ba3eb04cfcd310c328b89560407ab472146d88159b
- Size of remote file:
- 2.95 GB
- SHA256:
- f3c87256a2c888100c179d7dcd7f41df17c767469546c59d32c7dde86c740a6b
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