Instructions to use abshetty/sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abshetty/sample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="abshetty/sample")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("abshetty/sample") model = AutoModel.from_pretrained("abshetty/sample") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 769dd13f8cb3205b04ad1e88e7bc21666ace4710f230f9f295f50c6573b724f6
- Size of remote file:
- 434 MB
- SHA256:
- 94c495a3ef7f1b0ed7ab0e5a1ebb9989598635d0927c44ff614ff99d1f2cbc83
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.