Instructions to use circulus/kobart-chat-mixed-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use circulus/kobart-chat-mixed-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("circulus/kobart-chat-mixed-v2") model = AutoModelForSeq2SeqLM.from_pretrained("circulus/kobart-chat-mixed-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from circulus/kobart-chat-mixed-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
-
https://huggingface.co/circulus/kobart-chat-mixed-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://circulus/kobart-chat-mixed-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/circulus/kobart-chat-mixed-v2/resolve/main/tokenizer.json
1.05 MB
- Xet hash:
- 6c0527d9fa13af3a9b0e0bb81f4b900c3022ea4558d7d54dedbccb88347e4ff9
- Size of remote file:
- 1.05 MB
- SHA256:
- d3bc9f61f664c813966468bbae2727ab217a30c71a303b2901c409f8daf632b4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.