Instructions to use nelise/lab2_efficient with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nelise/lab2_efficient with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nelise/lab2_efficient") model = AutoModelForSeq2SeqLM.from_pretrained("nelise/lab2_efficient", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nelise/lab2_efficient: direct link, hf CLI and curl.
- Browser
- Download file 5.39 kB
-
https://huggingface.co/nelise/lab2_efficient/resolve/main/training_args.bin
- Command line
-
hf download hf://nelise/lab2_efficient/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nelise/lab2_efficient/resolve/main/training_args.bin
5.39 kB
- Xet hash:
- f32b98df56adcc988818da01d010929c96d1f7e067dab2a26346a1ed5fae7eb3
- Size of remote file:
- 5.39 kB
- SHA256:
- fff8a2ce5a39babc3382120d97c54b9a962765246bbd7e538f7f4120d2e5a7c1
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