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 added_tokens.json from FatouSow/Relex: direct link, hf CLI and curl.
- Browser
- Download file 46 Bytes
-
https://huggingface.co/FatouSow/Relex/resolve/main/added_tokens.json
- Command line
-
hf download hf://FatouSow/Relex/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/FatouSow/Relex/resolve/main/added_tokens.json
46 Bytes
| { | |
| "[/MARKER]": 32006, | |
| "[MARKER]": 32005 | |
| } | |