How to use Tiime/camembert-pcg-annotation-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tiime/camembert-pcg-annotation-full")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tiime/camembert-pcg-annotation-full") model = AutoModelForSequenceClassification.from_pretrained("Tiime/camembert-pcg-annotation-full", device_map="auto")
https://huggingface.co/Tiime/camembert-pcg-annotation-full/resolve/main/final/tokenizer.json
hf download hf://Tiime/camembert-pcg-annotation-full/final/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Tiime/camembert-pcg-annotation-full/resolve/main/final/tokenizer.json
