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_te_domain/checkpoint-210000/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_te_domain/checkpoint-210000/optimizer.pt
- Command line
-
hf download hf://SpireLab/RESPIN_LanguageModels/muril_te_domain/checkpoint-210000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/main/muril_te_domain/checkpoint-210000/optimizer.pt
4.76 MB
- Xet hash:
- 5e333657cada885fbaf15f87f951e07409ab4535fa0606884c841376f616fdfd
- Size of remote file:
- 4.76 MB
- SHA256:
- 8143aaf84f76a639692f62abac5e8f50feb9ca89408745ba11f57b49841e7961
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