Instructions to use huggingsg/lab1_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingsg/lab1_random with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("huggingsg/lab1_random") model = AutoModelForSeq2SeqLM.from_pretrained("huggingsg/lab1_random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from huggingsg/lab1_random: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/huggingsg/lab1_random/resolve/main/training_args.bin
- Command line
-
hf download hf://huggingsg/lab1_random/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/huggingsg/lab1_random/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 9187e9bae3e4efa1379d03c4a967ab7d2c2efca4a9ff1c543a6f1925ddb27acf
- Size of remote file:
- 5.43 kB
- SHA256:
- fe2e81c4ba091e1fce4783b6039e8fce885d2f24d5469163c2d652db122f23c3
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