Instructions to use vramesh/UniRel-nyt-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vramesh/UniRel-nyt-checkpoint with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vramesh/UniRel-nyt-checkpoint") model = AutoModel.from_pretrained("vramesh/UniRel-nyt-checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from vramesh/UniRel-nyt-checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 815 MB
-
https://huggingface.co/vramesh/UniRel-nyt-checkpoint/resolve/main/optimizer.pt
- Command line
-
hf download hf://vramesh/UniRel-nyt-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/vramesh/UniRel-nyt-checkpoint/resolve/main/optimizer.pt
815 MB
- Xet hash:
- 9c840ae2771856f7f6056b6b7d9993e72549e270eb28cda23e6cfea846a9b43a
- Size of remote file:
- 815 MB
- SHA256:
- f0438133b49f4bc507efaf89c1e1463501248a34f7544d1d4d1dafd381177c06
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