Feature Extraction
Transformers
PyTorch
TensorFlow
TensorBoard
Safetensors
French
deberta-v2
deberta-v3
debertav2
debertav3
camembert
text-embeddings-inference
Instructions to use almanach/camembertav2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almanach/camembertav2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="almanach/camembertav2-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("almanach/camembertav2-base") model = AutoModel.from_pretrained("almanach/camembertav2-base") - Inference
- 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:c3c99db1dfa256678fbda67b1cddbbb04f7c27a32a49533e3d15779802e1a659
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size 442497216
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