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:
- 885740a6cc307249f2f6a11bb437febeced4d9d618ec8479db6c737da3db97a4
- Size of remote file:
- 5.46 kB
- SHA256:
- f5224b977673c75277da4dde249ccfb42e4df7d7a27121bdd223f4ac8c916738
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