Instructions to use kallacharanteja/mt5-small-to-Tel-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kallacharanteja/mt5-small-to-Tel-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-small-to-Tel-medium") - Transformers
How to use kallacharanteja/mt5-small-to-Tel-medium with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kallacharanteja/mt5-small-to-Tel-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6da56d6178f037868b7f4405a248490a66fe39d0227e2e83976c17a91efa83c9
- Size of remote file:
- 16 MB
- SHA256:
- ea2161d79be15aa5b9ca5327f44791ed567cff8661f69863d29eefb5abc14716
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