Instructions to use ayush0205/medicalSummarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayush0205/medicalSummarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ayush0205/medicalSummarizer") model = AutoModelForSeq2SeqLM.from_pretrained("ayush0205/medicalSummarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7470b788d2ae96c55701868330a8a351d7fdb59ae2784c63e95d5f1c2abbf4f
- Size of remote file:
- 5.37 kB
- SHA256:
- 05dd88f9ae2d8ad27164874143de8894f085ea3bcb35a392999e3c5b545826da
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