Instructions to use VladimML/Summ_Dialog_News with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VladimML/Summ_Dialog_News with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VladimML/Summ_Dialog_News") model = AutoModelForSeq2SeqLM.from_pretrained("VladimML/Summ_Dialog_News", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 5000
Verified signature2faa714 -
Training in progress, step 3500
Verified signature869319b -
Training in progress, step 3000
Verified signature8942867 -
Training in progress, step 2500
Verified signaturefde21ff -
Training in progress, step 2000
Verified signature26f38c5 -
Training in progress, step 1000
Verified signature9ba7dc7 -
Training in progress, step 500
Verified signatureea16945
-
initial commit
Verified signature5942bf8