Instructions to use prashantrajbista/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prashantrajbista/results with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("prashantrajbista/results") model = AutoModelForSeq2SeqLM.from_pretrained("prashantrajbista/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92295e4c9d101715e4393aaf13cc9ee925742fe29a7fe7d49162fa2c534c5aba
- Size of remote file:
- 17.1 MB
- SHA256:
- 4dc505bc21a5065c9dc2bf957fdcbf1626c7ec1e706cd25535dfbd2846956518
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