Instructions to use emilstabil/mt5-large_V8901 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilstabil/mt5-large_V8901 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("emilstabil/mt5-large_V8901") model = AutoModelForSeq2SeqLM.from_pretrained("emilstabil/mt5-large_V8901") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 512fabfc7e0d5c4191c6ba4719118f5872de79776a00d75b97098d86b4270268
- Size of remote file:
- 4.92 GB
- SHA256:
- 8d492c93db6105b32415d5bb83ffebc63a4e34dd66d12c95864d604259df11c2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.