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/optimizer.pt from SpireLab/RESPIN_LanguageModels: direct link, hf CLI and curl.
- Browser
- Download file 85.8 MB
-
https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/main/muril_mag_domain/checkpoint-42618/optimizer.pt
- Command line
-
hf download hf://SpireLab/RESPIN_LanguageModels/muril_mag_domain/checkpoint-42618/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/main/muril_mag_domain/checkpoint-42618/optimizer.pt
85.8 MB
- Xet hash:
- 8189c7afcc30c876eafb6ad70d772cbaaa13a4a246f4c0d54df4d4433410788f
- Size of remote file:
- 85.8 MB
- SHA256:
- 3f4ad6b476dbba0962029468f498884c18c76468e4d1d5d7a93ea8ef411e4cb0
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