Instructions to use harsh90/my-bart-scihigh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harsh90/my-bart-scihigh with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("harsh90/my-bart-scihigh") model = AutoModelForSeq2SeqLM.from_pretrained("harsh90/my-bart-scihigh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6db3cb6e5e6d897476480b6e4a60039981cf045e9bcf83c22157c610ebc15a76
- Size of remote file:
- 1.63 GB
- SHA256:
- bfbf759a74b3b6b0ebd080b377a6b0cb0db7446fdcc3116951238e3d792fafcc
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