Transformers
JAX
Safetensors
English
t5
text2text-generation
biomedical
clinical
ul2
encoder-decoder
pretraining
medical
text-generation-inference
Instructions to use Siddharth63/medul2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siddharth63/medul2-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Siddharth63/medul2-base") model = AutoModelForSeq2SeqLM.from_pretrained("Siddharth63/medul2-base") - Notebooks
- Google Colab
- Kaggle
Commit ·
552aa23
1
Parent(s): 777236d
Update dataset.py
Browse files- dataset.py +1 -1
dataset.py
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from datasets import load_from_disk
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dataset_dict = load_from_disk("gs://medical-siddharth/medical_dataset")
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dataset_dict.save_to_disk("
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from datasets import load_from_disk
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dataset_dict = load_from_disk("gs://medical-siddharth/medical_dataset")
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dataset_dict.save_to_disk("medical_dataset")
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