Instructions to use marcsun13/test_push_checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcsun13/test_push_checkpoint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="marcsun13/test_push_checkpoint")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("marcsun13/test_push_checkpoint") model = AutoModelForMaskedLM.from_pretrained("marcsun13/test_push_checkpoint") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jun28_18-02-01_hf-dgx-01
- Jun28_18-12-57_hf-dgx-01
- Jun28_18-17-24_hf-dgx-01
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- Jun28_18-44-32_hf-dgx-01
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- Jun28_18-58-32_hf-dgx-01
- Jun28_19-13-00_hf-dgx-01
- Jun28_19-22-43_hf-dgx-01
- Jun28_19-25-33_hf-dgx-01
- Jun28_19-27-01_hf-dgx-01
- Jun28_19-27-56_hf-dgx-01
- Jun28_19-28-43_hf-dgx-01
- Jun28_19-29-25_hf-dgx-01
- Jun28_19-32-22_hf-dgx-01
- Jun28_19-44-08_hf-dgx-01
- Jun28_19-48-56_hf-dgx-01
- Jun28_19-52-58_hf-dgx-01
- Jun28_20-00-51_hf-dgx-01
- Jun28_20-06-36_hf-dgx-01
- Jun28_20-17-22_hf-dgx-01