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 .gitattributes from TypicaAI/magbert-lm: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
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https://huggingface.co/TypicaAI/magbert-lm/resolve/983e3ceb5ed7493716c44a48a83d698cae29b970/.gitattributes
- Command line
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hf download hf://TypicaAI/magbert-lm@983e3ceb5ed7493716c44a48a83d698cae29b970/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/TypicaAI/magbert-lm/resolve/983e3ceb5ed7493716c44a48a83d698cae29b970/.gitattributes
345 Bytes
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