Instructions to use umanlp/mt5-mlm-wiki14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use umanlp/mt5-mlm-wiki14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="umanlp/mt5-mlm-wiki14")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("umanlp/mt5-mlm-wiki14") model = AutoModel.from_pretrained("umanlp/mt5-mlm-wiki14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from umanlp/mt5-mlm-wiki14: direct link, hf CLI and curl.
- Browser
- Download file 1.56 GB
-
https://huggingface.co/umanlp/mt5-mlm-wiki14/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://umanlp/mt5-mlm-wiki14@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/umanlp/mt5-mlm-wiki14/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.56 GB
- Xet hash:
- 043cd60304c5a63fbd953416b109862498e72f9a38fea317365b153a99a5072c
- Size of remote file:
- 1.56 GB
- SHA256:
- 8c33607c60d0897ae771d7562d8b7b0e02995b4d6cb1911fdc1bcf7a0295628f
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