Transformers
Safetensors
Generated from Trainer
sft
trl
hf_jobs
ml-intern
deepwiki
code-documentation
technical-writing
Instructions to use GhostScientist/semanticwiki-coder-7b-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GhostScientist/semanticwiki-coder-7b-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GhostScientist/semanticwiki-coder-7b-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from GhostScientist/semanticwiki-coder-7b-v2: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/GhostScientist/semanticwiki-coder-7b-v2/resolve/main/training_args.bin
- Command line
-
hf download hf://GhostScientist/semanticwiki-coder-7b-v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GhostScientist/semanticwiki-coder-7b-v2/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 6a80878971a26c96f48fa44f11d55a1e456a817733d6e7edcb6b9bf955c61cf4
- Size of remote file:
- 5.84 kB
- SHA256:
- 7a44b2749e14d475227ae1de95143f72b48b8dccdf31f96a0fbd18158ad26cec
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