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_mt_domain/model.safetensors from SpireLab/RESPIN_LanguageModels: direct link, hf CLI and curl.
- Browser
- Download file 951 MB
-
https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/main/muril_mt_domain/model.safetensors
- Command line
-
hf download hf://SpireLab/RESPIN_LanguageModels/muril_mt_domain/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/main/muril_mt_domain/model.safetensors
951 MB
- Xet hash:
- a3b840ecfed38aeaabecbf0f95dc231ee76126645d5e2c970d158745883cc9d4
- Size of remote file:
- 951 MB
- SHA256:
- 05f9a55d681c72393ae8096acdbe2f46d964514c28988a9526698aac9d193cf6
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