Instructions to use kallacharanteja/mt5-version4-Hindi-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kallacharanteja/mt5-version4-Hindi-medium 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-version4-Hindi-medium") - Transformers
How to use kallacharanteja/mt5-version4-Hindi-medium with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kallacharanteja/mt5-version4-Hindi-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f97d58f6ff4bcc5226c163ab3792839499a2ef13a61234c21ca60394ded66b01
- Size of remote file:
- 5.52 kB
- SHA256:
- 4b2f2c850707611376aaada35aedee14416ed38e016b60109891d794013a5df7
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