Instructions to use tscholak/2jrayxos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tscholak/2jrayxos with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tscholak/2jrayxos") model = AutoModelForSeq2SeqLM.from_pretrained("tscholak/2jrayxos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tscholak/2jrayxos: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/tscholak/2jrayxos/resolve/main/training_args.bin
- Command line
-
hf download hf://tscholak/2jrayxos/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tscholak/2jrayxos/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- 5bbc9e84ed2463f6b4bd53ca288f3af5365fd12086ba560ddc04fb32cad73c0d
- Size of remote file:
- 2.8 kB
- SHA256:
- 02bb805abc0514b5e7633855b3689de319f73a8be713910355ff40013d0655af
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