Instructions to use njprogrammer/kosimcse-roiberta-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use njprogrammer/kosimcse-roiberta-multitask with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="njprogrammer/kosimcse-roiberta-multitask")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("njprogrammer/kosimcse-roiberta-multitask") model = AutoModel.from_pretrained("njprogrammer/kosimcse-roiberta-multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from njprogrammer/kosimcse-roiberta-multitask: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/njprogrammer/kosimcse-roiberta-multitask/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://njprogrammer/kosimcse-roiberta-multitask/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/njprogrammer/kosimcse-roiberta-multitask/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- bc3505584f0e65423c28fe9767e566c5aa2de27f5fcd966ce990d7f11ee5a2c1
- Size of remote file:
- 443 MB
- SHA256:
- c0dc983b2b0cc13974c2ab5526d0338496df67fd2571245b12ccc95dcbc3be89
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