Instructions to use RedBaron5/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedBaron5/content with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RedBaron5/content") model = AutoModelForSeq2SeqLM.from_pretrained("RedBaron5/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RedBaron5/content: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/RedBaron5/content/resolve/main/training_args.bin
- Command line
-
hf download hf://RedBaron5/content/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RedBaron5/content/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- 575e7ca10ca69b0b73a0a8f7985eb3f1825761619d51d60c23b6e8cc4d5d7808
- Size of remote file:
- 4.16 kB
- SHA256:
- 771592c0aa895aa028ec043aab432ca892a69be918097c1544fd97f7fcc265d2
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