Instructions to use NLP-EXP/QSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLP-EXP/QSR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NLP-EXP/QSR")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NLP-EXP/QSR") model = AutoModelForMaskedLM.from_pretrained("NLP-EXP/QSR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from NLP-EXP/QSR: direct link, hf CLI and curl.
- Browser
- Download file 541 MB
-
https://huggingface.co/NLP-EXP/QSR/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://NLP-EXP/QSR/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/NLP-EXP/QSR/resolve/main/pytorch_model.bin
541 MB
- Xet hash:
- a3bc0ed63a75c0166bee715522887014d3b53f2ef15305911591dceae245cb6b
- Size of remote file:
- 541 MB
- SHA256:
- f35e77a62a729378344b9dd06d93482200dfbf0d492dcbc2a294532d1cebf332
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