Feature Extraction
Transformers
PyTorch
TensorBoard
Safetensors
French
deberta-v2
deberta
deberta-v3
text-embeddings-inference
Instructions to use almanach/camemberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almanach/camemberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="almanach/camemberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("almanach/camemberta-base") model = AutoModel.from_pretrained("almanach/camemberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (5117554949a0051ac795d9c1f81143c93d4c425f) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>34debec
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update config
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update readme
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update readme
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added model files
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initial commit
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