How to use dtorber/BioNLP-tech-decoder-PLOS with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="dtorber/BioNLP-tech-decoder-PLOS")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dtorber/BioNLP-tech-decoder-PLOS") model = AutoModelForSeq2SeqLM.from_pretrained("dtorber/BioNLP-tech-decoder-PLOS", device_map="auto")
https://huggingface.co/dtorber/BioNLP-tech-decoder-PLOS/resolve/main/vocab.json
hf download hf://dtorber/BioNLP-tech-decoder-PLOS/vocab.json
curl -L -o vocab.json https://huggingface.co/dtorber/BioNLP-tech-decoder-PLOS/resolve/main/vocab.json
