Instructions to use EIStakovskii/camembert_base_fluency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EIStakovskii/camembert_base_fluency with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EIStakovskii/camembert_base_fluency")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EIStakovskii/camembert_base_fluency") model = AutoModelForSequenceClassification.from_pretrained("EIStakovskii/camembert_base_fluency", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Adding `safetensors` variant of this model (#2)
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