Instructions to use eunyounglee/test-dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunyounglee/test-dataset with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eunyounglee/test-dataset") model = AutoModelForSeq2SeqLM.from_pretrained("eunyounglee/test-dataset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eunyounglee/test-dataset: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/eunyounglee/test-dataset/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eunyounglee/test-dataset/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eunyounglee/test-dataset/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- 2f9631c377375ac2cdcd3f96f4c3093cb66f77bdefa72acc057f598e7b3f3b24
- Size of remote file:
- 2.44 GB
- SHA256:
- fc3aeaba81c3c9a23d878eef11512c8d4d2ccece51985e662d821d889133bcf3
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