Instructions to use khalidrizki/RECOMP-selective-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khalidrizki/RECOMP-selective-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("khalidrizki/RECOMP-selective-v2") model = AutoModelForSeq2SeqLM.from_pretrained("khalidrizki/RECOMP-selective-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1d3719c59b7e2259766a05b73c179913d033c00640ebeb969fbaa7304d693ae
- Size of remote file:
- 990 MB
- SHA256:
- 95fb2dfa8155130b4c5d7549c5edff67f2d42544bffefff598d923a7f90bff5b
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