Instructions to use xmj2002/bart_modern_classical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xmj2002/bart_modern_classical 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="xmj2002/bart_modern_classical")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xmj2002/bart_modern_classical") model = AutoModelForSeq2SeqLM.from_pretrained("xmj2002/bart_modern_classical", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from xmj2002/bart_modern_classical: direct link, hf CLI and curl.
- Browser
- Download file 1.07 MB
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https://huggingface.co/xmj2002/bart_modern_classical/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://xmj2002/bart_modern_classical@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/xmj2002/bart_modern_classical/resolve/refs%2Fpr%2F1/tokenizer.json
1.07 MB
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