Instructions to use dtorber/BioNLP-tech-intro-disc-decoder-tokens-PLOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dtorber/BioNLP-tech-intro-disc-decoder-tokens-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-intro-disc-decoder-tokens-PLOS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dtorber/BioNLP-tech-intro-disc-decoder-tokens-PLOS") model = AutoModelForSeq2SeqLM.from_pretrained("dtorber/BioNLP-tech-intro-disc-decoder-tokens-PLOS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dtorber/BioNLP-tech-intro-disc-decoder-tokens-PLOS: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/dtorber/BioNLP-tech-intro-disc-decoder-tokens-PLOS/resolve/main/training_args.bin
- Command line
-
hf download hf://dtorber/BioNLP-tech-intro-disc-decoder-tokens-PLOS/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dtorber/BioNLP-tech-intro-disc-decoder-tokens-PLOS/resolve/main/training_args.bin
4.41 kB
- Xet hash:
- 534c0f88bd63a888ebf5b531ae54ef5bef0dad5b448457920e5fccef024d5e21
- Size of remote file:
- 4.41 kB
- SHA256:
- c9156b80a9ffc4dd1bedf7265090317eab4bd09e45fe6f1c051368b7d89d529e
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