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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JSCreatorPro/offline-cpu-madlad-400") model = AutoModelForSeq2SeqLM.from_pretrained("JSCreatorPro/offline-cpu-madlad-400", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from JSCreatorPro/offline-cpu-madlad-400: direct link, hf CLI and curl.
- Browser
- Download file 4 Bytes
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https://huggingface.co/JSCreatorPro/offline-cpu-madlad-400/resolve/main/added_tokens.json
- Command line
-
hf download hf://JSCreatorPro/offline-cpu-madlad-400/added_tokens.json
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curl -L -o added_tokens.json https://huggingface.co/JSCreatorPro/offline-cpu-madlad-400/resolve/main/added_tokens.json
4 Bytes
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