Instructions to use google/madlad400-7b-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/madlad400-7b-mt 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="google/madlad400-7b-mt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/madlad400-7b-mt") model = AutoModelForSeq2SeqLM.from_pretrained("google/madlad400-7b-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02a2dded26e3ff07214245588796ce57786c80b450220ebe9b08d7eb71055849
- Size of remote file:
- 4.97 GB
- SHA256:
- 21d26389f8a63934098ccd037e5eedb0b4defb9e3af54134b65de27e2133c7eb
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