How to use CataME/tp_nlp_Ruperta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="CataME/tp_nlp_Ruperta")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("CataME/tp_nlp_Ruperta") model = AutoModel.from_pretrained("CataME/tp_nlp_Ruperta", device_map="auto")
https://huggingface.co/CataME/tp_nlp_Ruperta/resolve/main/tokenizer.json
hf download hf://CataME/tp_nlp_Ruperta/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/CataME/tp_nlp_Ruperta/resolve/main/tokenizer.json
