Instructions to use ggaaaga/madlad400-web with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ggaaaga/madlad400-web 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="ggaaaga/madlad400-web")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ggaaaga/madlad400-web") model = AutoModelForSeq2SeqLM.from_pretrained("ggaaaga/madlad400-web") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2289422114d86e6391f4d77c456a360d202f5b64240a5486333a2c186a15466a
- Size of remote file:
- 1.34 GB
- SHA256:
- ec4762557be4a5db1d8d88fbe4437a6809bf4ad7a2322f45b7205fef58533e39
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