Text Classification
Transformers
Safetensors
French
camembert
discourse relation
discourse connective
nlp
Eval Results (legacy)
Instructions to use FatouSow/Relex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FatouSow/Relex with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FatouSow/Relex")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FatouSow/Relex") model = AutoModelForSequenceClassification.from_pretrained("FatouSow/Relex", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from FatouSow/Relex: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/FatouSow/Relex/resolve/main/model.safetensors
- Command line
-
hf download hf://FatouSow/Relex/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/FatouSow/Relex/resolve/main/model.safetensors
443 MB
- Xet hash:
- f8ba2a0dec4c29c63de8a41740a5eca54b93c22bd52ab78317c10bc5bd724482
- Size of remote file:
- 443 MB
- SHA256:
- 1ceaba0b4cd855267cbb46fa9c1c2112b1de11a9c4e3d61e54ab0a28225143a9
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