Instructions to use abhiBatu/MeetingSumm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhiBatu/MeetingSumm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abhiBatu/MeetingSumm") model = AutoModelForSeq2SeqLM.from_pretrained("abhiBatu/MeetingSumm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload vocab.json
132e928 -
Upload training_args.bin
8b1891b -
Upload tokenizer_config.json
5a29856 -
Upload tokenizer.json
472c22b -
Upload special_tokens_map.json
c23061e -
Upload scheduler.pt
ddb5d7d -
Upload pytorch_model.bin
125db6c -
Upload optimizer.pt
5e5fd3a -
Upload model_args.json
f54ab01 -
Upload merges.txt
3abde8a -
Upload eval_results.txt
373a516 -
Upload config.json
66bebc3 -
initial commit
1290f0e