Instructions to use wanhin/MT5-Pythera-Law-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wanhin/MT5-Pythera-Law-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, MT5ForCL tokenizer = AutoTokenizer.from_pretrained("wanhin/MT5-Pythera-Law-v2") model = MT5ForCL.from_pretrained("wanhin/MT5-Pythera-Law-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from wanhin/MT5-Pythera-Law-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.22 GB
-
https://huggingface.co/wanhin/MT5-Pythera-Law-v2/resolve/main/optimizer.pt
- Command line
-
hf download hf://wanhin/MT5-Pythera-Law-v2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/wanhin/MT5-Pythera-Law-v2/resolve/main/optimizer.pt
2.22 GB
- Xet hash:
- dee38384963dcf04e4fa7e41a8d1e85d6242cd45e7283a582d8e5e3ed97969b9
- Size of remote file:
- 2.22 GB
- SHA256:
- fd4ffd7a5c8d18c44445a050de268e2adfa8f40ac06cf8d7b69388abbd24a1a1
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