Instructions to use Ashwin0/final_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ashwin0/final_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ashwin0/final_model") model = AutoModelForSeq2SeqLM.from_pretrained("Ashwin0/final_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c70a4d7d4740efed3be84694e6b22015a9e2ba4fcb57b2bf85f1a5563092e5a
- Size of remote file:
- 558 MB
- SHA256:
- aa93456b2c5835e8cca6ad9c6bcc345b42660ec4f2716fcc2cb895f49e0dbb76
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