Instructions to use tscholak/3vnuv1vf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tscholak/3vnuv1vf with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tscholak/3vnuv1vf") model = AutoModelForSeq2SeqLM.from_pretrained("tscholak/3vnuv1vf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from tscholak/3vnuv1vf: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/tscholak/3vnuv1vf/resolve/main/scheduler.pt
- Command line
-
hf download hf://tscholak/3vnuv1vf/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/tscholak/3vnuv1vf/resolve/main/scheduler.pt
623 Bytes
- Xet hash:
- 7214db157ca4b039209c053ccb4a9c34fd7ec8e58e2eaeb62377b1f3c09ab4fe
- Size of remote file:
- 623 Bytes
- SHA256:
- be44c8bc885da9f78d92349b23d9c81699a42a532c100be3b9d29d6af40b6c1e
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