Instructions to use semindan/xlm-r_wpr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use semindan/xlm-r_wpr with Transformers:
# Load model directly from transformers import AutoTokenizer, XLMRobertaMultiTask tokenizer = AutoTokenizer.from_pretrained("semindan/xlm-r_wpr") model = XLMRobertaMultiTask.from_pretrained("semindan/xlm-r_wpr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from semindan/xlm-r_wpr: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/semindan/xlm-r_wpr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://semindan/xlm-r_wpr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/semindan/xlm-r_wpr/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- 8dd0c8feded4844288fd32f92605dc812a0c23ce1c8eb55a3abd6bb4018ec62c
- Size of remote file:
- 1.11 GB
- SHA256:
- 9ebf62c3ee19ef4e17334afb3ed4c48866ade41ea0f47dbe48b3951fa08b6721
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