Instructions to use kallacharanteja/mt5-small-to-hin-fixing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kallacharanteja/mt5-small-to-hin-fixing with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small") model = PeftModel.from_pretrained(base_model, "kallacharanteja/mt5-small-to-hin-fixing") - Transformers
How to use kallacharanteja/mt5-small-to-hin-fixing with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kallacharanteja/mt5-small-to-hin-fixing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfc8824cff70993f17ec2c79f6ce1c1183c9f5990787a1cfb7bc7c7aa76682ed
- Size of remote file:
- 3.08 GB
- SHA256:
- fd395bf59e851497fd0be105e1d301507f92b36c43d2b17364fd16cc72e956ab
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