Instructions to use enriquesaou/T5_mrqa_fast_learner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enriquesaou/T5_mrqa_fast_learner with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("enriquesaou/T5_mrqa_fast_learner") model = AutoModelForSeq2SeqLM.from_pretrained("enriquesaou/T5_mrqa_fast_learner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ca351d35b6bfaac7b7e8c270d6d80ab5e367e67c0fce87527c0f5693b267c50
- Size of remote file:
- 5.24 kB
- SHA256:
- d1b6138a427069ed47fcf262f3a1530146b65b78ff4d10ed4e74978221792902
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