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
Download tokenizer.json from VladimML/Summ_Dialog_News: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/VladimML/Summ_Dialog_News/resolve/main/tokenizer.json
- Command line
-
hf download hf://VladimML/Summ_Dialog_News/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/VladimML/Summ_Dialog_News/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- e09edc53f35005d34c6c0fa4ac37d0ebf7a482f4e0514fda2d3175f7867b53be
- Size of remote file:
- 16.3 MB
- SHA256:
- 1dcf765fe7cf7d94cf055d8efc9d4b45414fa7da282230e91daa25976bb9ad02
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