Instructions to use lgrobol/BERTrade-camemBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgrobol/BERTrade-camemBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lgrobol/BERTrade-camemBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lgrobol/BERTrade-camemBERT") model = AutoModelForMaskedLM.from_pretrained("lgrobol/BERTrade-camemBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (ec487d324d8b9216dd216c9f17ec443f6d41b6a7)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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model.safetensors
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size 442650500
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