Text Classification
Transformers
TensorBoard
Safetensors
French
roberta
review-classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use almanach/camembertv2-base-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almanach/camembertv2-base-cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="almanach/camembertv2-base-cls")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("almanach/camembertv2-base-cls") model = AutoModelForSequenceClassification.from_pretrained("almanach/camembertv2-base-cls") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dd1591ef8097920ca29b44b44f6fdba5fb61cfba6796042f42db69bcb7b23b9
- Size of remote file:
- 5.56 kB
- SHA256:
- 9a3c9e041e9a849d386f95f099757f5432f20f270c5c148a30bc5aab790564b1
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