Instructions to use teowu/tmp_rsz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teowu/tmp_rsz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="teowu/tmp_rsz", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("teowu/tmp_rsz", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from teowu/tmp_rsz: direct link, hf CLI and curl.
- Browser
- Download file 6.14 kB
-
https://huggingface.co/teowu/tmp_rsz/resolve/main/training_args.bin
- Command line
-
hf download hf://teowu/tmp_rsz/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/teowu/tmp_rsz/resolve/main/training_args.bin
6.14 kB
- Xet hash:
- a6ea58a6c47c02e31e0da69906201c97741005f7e72ca6575890e69fb175e3f5
- Size of remote file:
- 6.14 kB
- SHA256:
- 88377f58543c377fc361f0c9deb2634c79f987e2138037a4714c9bc81a361f95
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