Instructions to use Firmansyah-Ibrahim/mt5_small-silver-standard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Firmansyah-Ibrahim/mt5_small-silver-standard with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Firmansyah-Ibrahim/mt5_small-silver-standard") model = AutoModelForSeq2SeqLM.from_pretrained("Firmansyah-Ibrahim/mt5_small-silver-standard") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b89f3c4380edd111d22f41caeb0e193fb40a0c2a235a247349d16ca444bee802
- Size of remote file:
- 16 MB
- SHA256:
- 8adeccb1a674329bdfdaacd81e729e2bbaff8a58d838ec1ec9a1f612b0b00c89
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.