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:
- 0617b00ec387d525efb3ba9b1dc5e5ac2ab1aec3b7dba444868883bb326e5e71
- Size of remote file:
- 1.87 GB
- SHA256:
- 78fb514445a6c98e33370055120aecedf1c02eac04d2b626fb8b68f91f93f91f
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