Instructions to use TypicaAI/magbert-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TypicaAI/magbert-lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="TypicaAI/magbert-lm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("TypicaAI/magbert-lm") model = AutoModelForMaskedLM.from_pretrained("TypicaAI/magbert-lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sentencepiece.bpe.model from TypicaAI/magbert-lm: direct link, hf CLI and curl.
- Browser
- Download file 811 kB
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https://huggingface.co/TypicaAI/magbert-lm/resolve/8346c6bdbb798a69bd877e8aaf7246b5f2a501a3/sentencepiece.bpe.model
- Command line
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hf download hf://TypicaAI/magbert-lm@8346c6bdbb798a69bd877e8aaf7246b5f2a501a3/sentencepiece.bpe.model
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curl -L -o sentencepiece.bpe.model https://huggingface.co/TypicaAI/magbert-lm/resolve/8346c6bdbb798a69bd877e8aaf7246b5f2a501a3/sentencepiece.bpe.model
811 kB
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