How to use HamidBekam/g-patentsberta-e2e with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HamidBekam/g-patentsberta-e2e")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HamidBekam/g-patentsberta-e2e") model = AutoModelForSequenceClassification.from_pretrained("HamidBekam/g-patentsberta-e2e", device_map="auto")
https://huggingface.co/HamidBekam/g-patentsberta-e2e/resolve/main/tokenizer.json
hf download hf://HamidBekam/g-patentsberta-e2e/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/HamidBekam/g-patentsberta-e2e/resolve/main/tokenizer.json
