# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("binwang/xlnet-base-cased")
model = AutoModelForCausalLM.from_pretrained("binwang/xlnet-base-cased")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This model is pre-trained XLNET with 12 layers.
It comes with paper: SBERT-WK: A Sentence Embedding Method By Dissecting BERT-based Word Models
Project Page: SBERT-WK
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="binwang/xlnet-base-cased")