Instructions to use chamdentimem/Final-DeepLearning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chamdentimem/Final-DeepLearning with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chamdentimem/Final-DeepLearning") model = AutoModelForSeq2SeqLM.from_pretrained("chamdentimem/Final-DeepLearning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fabb8eef60968a4a2102845bc986329c30d4dfd58eaa6bb94e4746c0adeb2496
- Size of remote file:
- 287 MB
- SHA256:
- d4ee024a57cfa5771019d1d3b732dc1364269496744972103d3df06e8f943c22
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