Instructions to use SkyR/albert-base-ours-run-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkyR/albert-base-ours-run-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkyR/albert-base-ours-run-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SkyR/albert-base-ours-run-2") model = AutoModelForSequenceClassification.from_pretrained("SkyR/albert-base-ours-run-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2eee8712cde36e9e9807edb88a7b2cfc552108b176d7e49608dc23b29debc346
- Size of remote file:
- 46.8 MB
- SHA256:
- 3416433cabb355490a05aacb184f0d82d386927fc8eb1bf765dbbe2f5c57dd8d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.