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_hi_domain/checkpoint-542931/optimizer.pt from SpireLab/RESPIN_LanguageModels: direct link, hf CLI and curl.
- Browser
- Download file 4.76 MB
-
https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/main/muril_hi_domain/checkpoint-542931/optimizer.pt
- Command line
-
hf download hf://SpireLab/RESPIN_LanguageModels/muril_hi_domain/checkpoint-542931/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/main/muril_hi_domain/checkpoint-542931/optimizer.pt
4.76 MB
- Xet hash:
- 0dd722f5e465ee231db0fc03971560cdc9046dc1ed1c4d69c92a26ddab0e51c1
- Size of remote file:
- 4.76 MB
- SHA256:
- ed403f7518fbb5810c7c2e77d806f0c57a5233c46c77265f3d6bd9e79a76182f
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