Instructions to use factored/distilbert-fr-explorer-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use factored/distilbert-fr-explorer-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="factored/distilbert-fr-explorer-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("factored/distilbert-fr-explorer-classification") model = AutoModelForMaskedLM.from_pretrained("factored/distilbert-fr-explorer-classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6c96fa968f2ce75fe1d9b11520a6375d76dcee7acb90cf43e30f5fd5fb75e95
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size 267954768
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