Instructions to use Tippawan/mt5-er-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tippawan/mt5-er-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tippawan/mt5-er-v1") model = AutoModelForSeq2SeqLM.from_pretrained("Tippawan/mt5-er-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Tippawan/mt5-er-v1: direct link, hf CLI and curl.
- Browser
- Download file 16.4 MB
-
https://huggingface.co/Tippawan/mt5-er-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://Tippawan/mt5-er-v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Tippawan/mt5-er-v1/resolve/main/tokenizer.json
16.4 MB
- Xet hash:
- 22d6d9e07ba1c0bcc18f0b5c66a0bc9a2b52234efc6a37bb19391c4ca874dcf0
- Size of remote file:
- 16.4 MB
- SHA256:
- 880590dd4a62398d04acd365a099e0fe0bf13519d09f4fd89b5e5ef2d9959c39
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