Instructions to use JSCreatorPro/offline-cpu-madlad-400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JSCreatorPro/offline-cpu-madlad-400 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="JSCreatorPro/offline-cpu-madlad-400")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("JSCreatorPro/offline-cpu-madlad-400") model = AutoModelForMultimodalLM.from_pretrained("JSCreatorPro/offline-cpu-madlad-400") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afb8d96aa88168b9065565ba42c94f82aa6b9ad1db7194a7cf8c3ba365de92cf
- Size of remote file:
- 16.6 MB
- SHA256:
- a2799ccc696b752ba00c34f58726bfe253a04921ceb6cfc620400f560474790b
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