Instructions to use Lvxue/mt5_no_training_single with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lvxue/mt5_no_training_single with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Lvxue/mt5_no_training_single") model = AutoModelForSeq2SeqLM.from_pretrained("Lvxue/mt5_no_training_single", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Lvxue/mt5_no_training_single: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/Lvxue/mt5_no_training_single/resolve/main/tokenizer.json
- Command line
-
hf download hf://Lvxue/mt5_no_training_single/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Lvxue/mt5_no_training_single/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- ae79033509edb2a0231d5e9b32aed5da148455363635b867fe268ea64a29e179
- Size of remote file:
- 16.3 MB
- SHA256:
- faaa6405f5f79c9e788c7980874a9a3b5b0aea07b53bd9243bf1abb8f5c49c81
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