Instructions to use BenjaminPittsley/ue5-code-expert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminPittsley/ue5-code-expert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BenjaminPittsley/ue5-code-expert") model = AutoModelForSeq2SeqLM.from_pretrained("BenjaminPittsley/ue5-code-expert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BenjaminPittsley/ue5-code-expert: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/BenjaminPittsley/ue5-code-expert/resolve/main/training_args.bin
- Command line
-
hf download hf://BenjaminPittsley/ue5-code-expert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BenjaminPittsley/ue5-code-expert/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 39222ad9af8c1e45499b9f9d69aa11294840af0336eaf3cdfbe4ab73fe0b9411
- Size of remote file:
- 5.37 kB
- SHA256:
- ddd59980993f570f2af712e495ef5c7c2a1c6a059094d7d8d17d2f7bee80c930
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