Instructions to use Plasmoxy/mt5-small-gigatrue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Plasmoxy/mt5-small-gigatrue with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Plasmoxy/mt5-small-gigatrue") model = AutoModelForSeq2SeqLM.from_pretrained("Plasmoxy/mt5-small-gigatrue", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Plasmoxy/mt5-small-gigatrue: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/Plasmoxy/mt5-small-gigatrue/resolve/main/tokenizer.json
- Command line
-
hf download hf://Plasmoxy/mt5-small-gigatrue/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Plasmoxy/mt5-small-gigatrue/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 3a9f79341e59a7f49fb1ea3af37914ec4875ab847390b657b7e9f6bf51edc938
- Size of remote file:
- 16.3 MB
- SHA256:
- 65c2d7defb6472fada8a935bb364ae3433f7451780c8a59ab6b3cfbaadb32608
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