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")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("almanach/camemberta-base") model = AutoModel.from_pretrained("almanach/camemberta-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:c00baa03d52eeb7cf4c3051c0d5f4b360a987a9aa62cbd6b7642e2b6458c2f4d
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size 447245880
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