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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3632af87a8beaef6a21a414687a4b198ebe5aaeabc9f62b73db3b3607ac795bf
- Size of remote file:
- 5.11 kB
- SHA256:
- 4d349494ae8156305e09efcc20439fc982f8dcb380124342c5e9a68d7c3a07af
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