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