Instructions to use NLP-EXP/QSRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLP-EXP/QSRT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NLP-EXP/QSRT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NLP-EXP/QSRT") model = AutoModelForMaskedLM.from_pretrained("NLP-EXP/QSRT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from NLP-EXP/QSRT: direct link, hf CLI and curl.
- Browser
- Download file 541 MB
-
https://huggingface.co/NLP-EXP/QSRT/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://NLP-EXP/QSRT/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/NLP-EXP/QSRT/resolve/main/pytorch_model.bin
541 MB
- Xet hash:
- b6f8038378b684229c9177271a0d9d646c7a63e160f8dfbafa13eca88c0469d7
- Size of remote file:
- 541 MB
- SHA256:
- 59f0213b7c4f9b6d957f96a3379421afcb23396a3b3034637fc82de9cd038738
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