Instructions to use soyee/session1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soyee/session1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="soyee/session1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("soyee/session1") model = AutoModelForSequenceClassification.from_pretrained("soyee/session1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9169cf62ddd6b1057c361d0c452f09b61260906e1cdd08707d64dc5107900d40
- Size of remote file:
- 3.96 kB
- SHA256:
- 4e804b73be7c0c8689fdb21aaf5311572a06fbb8c507e9598af249a3d8b0e1a3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.