Instructions to use tharindu/mt5_0.1_SOLID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tharindu/mt5_0.1_SOLID with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tharindu/mt5_0.1_SOLID") model = AutoModelForSeq2SeqLM.from_pretrained("tharindu/mt5_0.1_SOLID", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from tharindu/mt5_0.1_SOLID: direct link, hf CLI and curl.
- Browser
- Download file 4.11 MB
-
https://huggingface.co/tharindu/mt5_0.1_SOLID/resolve/main/optimizer.pt
- Command line
-
hf download hf://tharindu/mt5_0.1_SOLID/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/tharindu/mt5_0.1_SOLID/resolve/main/optimizer.pt
4.11 MB
- Xet hash:
- 8da36a7fd4983deb2a036e658d7ee4c6a830bfe80dd6aafd62f569fde9478526
- Size of remote file:
- 4.11 MB
- SHA256:
- 6c880694e2e9cee1dfd75e565629f2e12bff48cc6a5b85d618f875dbb0fd2b97
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