Instructions to use akshay9125/Transcript_Summerizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akshay9125/Transcript_Summerizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("akshay9125/Transcript_Summerizer") model = AutoModelForSeq2SeqLM.from_pretrained("akshay9125/Transcript_Summerizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 716a8126d9bf9ad856df43bd771f9f15c8d514a75aa2ae70161131b4a4c4455f
- Size of remote file:
- 2.28 GB
- SHA256:
- 8c24171aec4686299b89effad2c1b13263aeee3b10f9afa84dae5b5dbc195dca
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