How to use EGAPE/secdisclosure-28l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EGAPE/secdisclosure-28l")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EGAPE/secdisclosure-28l") model = AutoModelForSequenceClassification.from_pretrained("EGAPE/secdisclosure-28l", device_map="auto")
https://huggingface.co/EGAPE/secdisclosure-28l/resolve/main/tokenizer.json
hf download hf://EGAPE/secdisclosure-28l/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/EGAPE/secdisclosure-28l/resolve/main/tokenizer.json
