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/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_te_domain/checkpoint-210000/training_args.bin
- Command line
-
hf download hf://SpireLab/RESPIN_LanguageModels/muril_te_domain/checkpoint-210000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/main/muril_te_domain/checkpoint-210000/training_args.bin
5.3 kB
- Xet hash:
- 69c995371db70c33a3921348d708e71f7bb471aff1e3c0c42372929a2f6be3f0
- Size of remote file:
- 5.3 kB
- SHA256:
- a155e4cb827d8adce80bd8a3d56690bbbfcc49bade0cf111e2c674145f2ba6c6
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