Instructions to use Short-Answer-Feedback/bart-score-finetuned-saf-communication-networks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Short-Answer-Feedback/bart-score-finetuned-saf-communication-networks with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Short-Answer-Feedback/bart-score-finetuned-saf-communication-networks") model = AutoModelForSeq2SeqLM.from_pretrained("Short-Answer-Feedback/bart-score-finetuned-saf-communication-networks") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60394e3065c202cc4b661790b5cc2851f8fb78b599a99ea463f665311cabc642
- Size of remote file:
- 1.63 GB
- SHA256:
- 7d986bf2d6c61643eeae14caf000de2a86cf5811bb1ff6aab4009406ed58afe4
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