Instructions to use licaaron/mt5-small-en2picto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use licaaron/mt5-small-en2picto with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("licaaron/mt5-small-en2picto") model = AutoModelForSeq2SeqLM.from_pretrained("licaaron/mt5-small-en2picto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from licaaron/mt5-small-en2picto: direct link, hf CLI and curl.
- Browser
- Download file 16.4 MB
-
https://huggingface.co/licaaron/mt5-small-en2picto/resolve/main/tokenizer.json
- Command line
-
hf download hf://licaaron/mt5-small-en2picto/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/licaaron/mt5-small-en2picto/resolve/main/tokenizer.json
16.4 MB
- Xet hash:
- 721cded5d871dc8f306ed4e9511ff876e6a9db1d5b6eb662f50b79fc47c99240
- Size of remote file:
- 16.4 MB
- SHA256:
- 03c5a18567a7d5b4de413ff5a77577fb0fa9d6f4a8fba65b4a92ffb5f66702d3
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