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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ANTOUN Wissam commited on
Commit ·
1421013
1
Parent(s): 5496c5b
update config
Browse files- config.json +2 -2
config.json
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{
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"_name_or_path": "
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"amp": true,
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"architectures": [
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"DebertaV2Model"
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"transformers_version": "4.20.1",
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"type_vocab_size": 0,
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"vocab_size": 32008
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}
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{
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"_name_or_path": "almanach/camemberta-base",
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"amp": true,
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"architectures": [
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"DebertaV2Model"
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"transformers_version": "4.20.1",
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"type_vocab_size": 0,
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"vocab_size": 32008
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}
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