Instructions to use nkhamm/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nkhamm/checkpoints with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nkhamm/checkpoints") model = AutoModelForSeq2SeqLM.from_pretrained("nkhamm/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66e71bf9cb5ecfcf64826751f75abc6785f59728f7b4fbd9f0d6d41a2f12ed09
- Size of remote file:
- 1.52 GB
- SHA256:
- 5e53bc0f0e2a9076951de24813af4b475f9ccca5f746e9c454b0275b07d34b6c
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