Instructions to use devgupta/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devgupta/results with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devgupta/results") model = AutoModelForSeq2SeqLM.from_pretrained("devgupta/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bba1b58d4d6f5cb69ecbed150757b5dc4a28fae65ec6bb77393f5f182667ed96
- Size of remote file:
- 990 MB
- SHA256:
- fd9e0fbaf769e27959dcbe4d1e9afddbd0056d5ccf95af8bd82c16da72131c50
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