Instructions to use SpireLab/RESPIN_LanguageModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpireLab/RESPIN_LanguageModels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SpireLab/RESPIN_LanguageModels")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpireLab/RESPIN_LanguageModels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download muril_mag_domain/checkpoint-42618/training_args.bin from SpireLab/RESPIN_LanguageModels: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/main/muril_mag_domain/checkpoint-42618/training_args.bin
- Command line
-
hf download hf://SpireLab/RESPIN_LanguageModels/muril_mag_domain/checkpoint-42618/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/main/muril_mag_domain/checkpoint-42618/training_args.bin
5.3 kB
- Xet hash:
- 50cb4eb6546c30787ac867078a588feedbf50080fca19361795ab93a4895355e
- Size of remote file:
- 5.3 kB
- SHA256:
- f71ba30d0841e67ffa46fb71ca444508f58f0f5e055886e5650e9e855889492b
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