Instructions to use compellit/mt5-scansion-gl-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use compellit/mt5-scansion-gl-sg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("compellit/mt5-scansion-gl-sg") model = AutoModelForSeq2SeqLM.from_pretrained("compellit/mt5-scansion-gl-sg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from compellit/mt5-scansion-gl-sg: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/compellit/mt5-scansion-gl-sg/resolve/main/tokenizer.json
- Command line
-
hf download hf://compellit/mt5-scansion-gl-sg/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/compellit/mt5-scansion-gl-sg/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 47c93a0a7c3afba7b7c23ae2af3c8c93b1ee9bc9e7c46ac46d8908fb22c619b4
- Size of remote file:
- 16.3 MB
- SHA256:
- 0eb6a8732e244301f06c6070b112655af0fab810c77b8ca0232c7e4aeb192c02
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