Instructions to use qweqwrqwr145/MyAwesomeModel-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qweqwrqwr145/MyAwesomeModel-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="qweqwrqwr145/MyAwesomeModel-TestRepo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("qweqwrqwr145/MyAwesomeModel-TestRepo") model = AutoModel.from_pretrained("qweqwrqwr145/MyAwesomeModel-TestRepo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fd10c05c054114555d744067a8c67449726673da7f0a2c1bc23f4f42206822b
- Size of remote file:
- 714 kB
- SHA256:
- 9ae9c7cc713b5dae1e04fa9c128874564d866648bed5e7f465adf34785d0d212
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.