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 train_data/muril_te_domain/tokenizer.json from SpireLab/RESPIN_LanguageModels: direct link, hf CLI and curl.
- Browser
- Download file 6.41 MB
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https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/26e01da99de14ccd78e94f8f052d9952c25e253a/train_data/muril_te_domain/tokenizer.json
- Command line
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hf download hf://SpireLab/RESPIN_LanguageModels@26e01da99de14ccd78e94f8f052d9952c25e253a/train_data/muril_te_domain/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/SpireLab/RESPIN_LanguageModels/resolve/26e01da99de14ccd78e94f8f052d9952c25e253a/train_data/muril_te_domain/tokenizer.json
6.41 MB
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