Instructions to use google/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#14 opened 7 days ago
by
SFconvertbot
Adding `safetensors` variant of this model
#13 opened about 1 year ago
by
Lunali
Adding `safetensors` variant of this model
#12 opened about 1 year ago
by
Lunali
🚩 Report: Not working
➕ 3
#10 opened over 1 year ago
by
tijsg
Target Language
#9 opened over 1 year ago
by
mehtameet2802
[AUTOMATED] Model Memory Requirements
#8 opened about 2 years ago
by
model-sizer-bot
Adding `safetensors` variant of this model
#5 opened about 3 years ago
by
SFconvertbot
fine-tuned translation model supporting many languages
👍 3
#4 opened about 3 years ago
by
majdoddin
mt5-base embedding size and tokenizer size don't match?
2
#2 opened almost 4 years ago
by
echau18