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