Instructions to use jla25/square1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jla25/square1.2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jla25/square1.2") model = AutoModelForSeq2SeqLM.from_pretrained("jla25/square1.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jla25/square1.2: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/jla25/square1.2/resolve/main/training_args.bin
- Command line
-
hf download hf://jla25/square1.2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jla25/square1.2/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 942db59e8a10cd33572b46acbb1e8a83bb43e92eec53b5623a2dfdb567bcb883
- Size of remote file:
- 5.3 kB
- SHA256:
- 7e50675d8ba4e4773ae3ceffa00567a9ec6a972b1972ab82f17231127f8b1851
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