Instructions to use VGraf/safe_synth_mt_dpo_mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VGraf/safe_synth_mt_dpo_mix with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="VGraf/safe_synth_mt_dpo_mix")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("VGraf/safe_synth_mt_dpo_mix") model = AutoModel.from_pretrained("VGraf/safe_synth_mt_dpo_mix", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from VGraf/safe_synth_mt_dpo_mix: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/VGraf/safe_synth_mt_dpo_mix/resolve/main/tokenizer.json
- Command line
-
hf download hf://VGraf/safe_synth_mt_dpo_mix/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/VGraf/safe_synth_mt_dpo_mix/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 32d0abcc36da9e88118a09ea124be6f02a60644cce435e772d57c3bcc0354189
- Size of remote file:
- 17.2 MB
- SHA256:
- 9400df98529060210393c40f08cb127f7c0df584338b3fbfdba8cf82a33c1ade
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