Instructions to use qwant/fralbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qwant/fralbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="qwant/fralbert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("qwant/fralbert-base") model = AutoModelForMaskedLM.from_pretrained("qwant/fralbert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (04ac4c2de2e7b2194573cd15132ab628b6dd6f00) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>806606d
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Update example
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Update usage
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Upload tokenizer_config.json
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Upload special_tokens_map.json
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Typo corrections
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Add first version of frALBERT
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Add readme file
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initial commit
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