Instructions to use jaimin/Active_to_passive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/Active_to_passive with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jaimin/Active_to_passive") model = AutoModelForSeq2SeqLM.from_pretrained("jaimin/Active_to_passive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8404523deb3a03a6488120ea0b5243e543621a973089eeaff1ef3bc6ffa51f7c
- Size of remote file:
- 2.54 kB
- SHA256:
- 74c03f68931e0365e7bc501c88f95f683d8379ca9a7ecdadb95dc7ef938b345e
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