Instructions to use Our-Org-2/3b-ko-ft-research_release with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Our-Org-2/3b-ko-ft-research_release with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Our-Org-2/3b-ko-ft-research_release")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Our-Org-2/3b-ko-ft-research_release") model = AutoModelForCausalLM.from_pretrained("Our-Org-2/3b-ko-ft-research_release", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Our-Org-2/3b-ko-ft-research_release: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Our-Org-2/3b-ko-ft-research_release/resolve/main/training_args.bin
- Command line
-
hf download hf://Our-Org-2/3b-ko-ft-research_release/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Our-Org-2/3b-ko-ft-research_release/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- f8bb5113201891951276db2d143e98366da2927698e485e458e9e077b20bbdd2
- Size of remote file:
- 5.3 kB
- SHA256:
- 9829155a45a2e2344e0eb229b380bdd65dbe78db886a20ae1791e2281baf4de0
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