Instructions to use Firmansyah-Ibrahim/mt5_small-silver-standard-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Firmansyah-Ibrahim/mt5_small-silver-standard-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small") model = PeftModel.from_pretrained(base_model, "Firmansyah-Ibrahim/mt5_small-silver-standard-lora") - Transformers
How to use Firmansyah-Ibrahim/mt5_small-silver-standard-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Firmansyah-Ibrahim/mt5_small-silver-standard-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b89f3c4380edd111d22f41caeb0e193fb40a0c2a235a247349d16ca444bee802
- Size of remote file:
- 16 MB
- SHA256:
- 8adeccb1a674329bdfdaacd81e729e2bbaff8a58d838ec1ec9a1f612b0b00c89
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